AMIA 2020 Informatics Summit Oral Presentations

3:30 p.m. – 5:00 p.m.

Web-based Interactive Visualization of Non-Lattice Subgraphs in SNOMED CT
W. Zhu, Case Western Reserve University; S. Tao, L. Cui, G. Zhang, University of Texas Health Science Center at Houston

Identification of Transmission Pathways for Vancomycin-resistant Enterococcus in a Hospital Group from Network Theory
M. Dahlweid, Z. Stefan, M. Kaempf, C. Debatin, J. Marschall, University Hospital Berne

Visualizing Clinical Assessment Variation for Quality Improvement: An Example in Preoperative Physical Status Classification
A. Wen, S. Moon, J. Fan, Mayo Clinic

A Comparative Analysis of Speed and Accuracy for Three Off-the-Shelf De-identification Tools
P. Heider, J. Obeid, S. Meystre, Medical University of South Carolina

Challenges in Using a Graph Database to Represent and Analyze Mappings of Cancer Study Data Standards
R. Renner, University of Minnesota; G. Jiang, Mayo Clinic

Modeling Asthma Exacerbations from Electronic Health Records
A. Cobian, University of Wisconsin; M. Abbott, University of Michigan; A. Sood, Y. Sverchkov, L. Hanrahan, University of Wisconsin; T. Guilbert, Cincinnati Children's Hospital; M. Craven, University of Wisconsin

Predicting Colorectal Polyp Recurrence Using Time-to-Event Analysis of Medical Records
L. Harrington, J. Wei, Dartmouth College; A. Suriawinata, Dartmouth-Hitchcock Medical Center; T. MacKensie, S. Hassanpour, Dartmouth College

JSONize: A Scalable Machine Learning Pipeline to Model Medical Notes as Semi-structured Documents
E. Rush, I. Danciu, G. Ostrouchov, Oak Ridge National Lab; K. Cho, VA Boston Healthcare System, Harvard Medical School Division of Aging, Brigham and Women’s Hospital; B. Mayer, Oak Ridge National Lab; Y. Ho, J. Honerlaw, L. Costa, VA Boston Healthcare System; F. Linares, E. Begoli, Oak Ridge National Lab

Generalization of Machine Learning Approaches to Identify Notifiable Conditions from a Statewide Health Information Exchange
G. Dexter, S. Grannis, B. Dixon, S. Kasthurirathne, Regenstrief Institute, Inc.

A Study of Allergen Extraction from Electronic Health Record Narratives
Y. Kim, S. Meystre, Medical University of South Carolina

FHIR Lab Reports: Using SMART on FHIR and CDS Hooks to Increase the Clinical Utility of Pharmacogenomic Laboratory Test Results
M. Watkins, K. Eilbeck, University of Utah

Translational Knowledge Discovery Between Drug Interactions and Pharmacogenetics
A. Shendre, S. Zhang, The Ohio State University

Pilot Implementation of Clinical Genomic Data into the Native Electronic Health Record (EHR): Challenges of Scalability
N. Walton, D. Johnson, T. Person, M. Williams, Geisinger

A Population-based Study of Simvastatin Drug-drug Interactions in Cardiovascular Disease Patients
J. Wang, C. Chi, University of Minnesota, OptumLabs; W. St. Peter, A. Carlson, University of Minnesota; M. Loth, P. Pradhan, Y. Liang, W. Chen, T. Lenskaia, University of Minnesota, OptumLabs; J. Robinson, University of Iowa; T. Adam, University of Minnesota

GenoShare: Supporting Privacy-informed Decisions for Sharing Individual-Level Genetic Data
J. Raisaro, Lausanne University Hospital; Y. El Zein, CSEM, University of Lausanne; J. Troncoso-Pastoriza, EPFL; M. Humbert, Armasuisse; J. Fellay, Lausanne University Hospital, C. Troncoso, J. Hubaux, EPFL

Integrating Electronic Health Records and Human Resource Information Systems to Examine the Impact of Nurses’ Characteristics on Outcomes: An Application to Pediatric Post-surgical Care
E. Harper, D. Walpitage, A. Garcia, University of Kansas Medical Center; J. Welton, University of Colorado, Denver; R. Waitman, University of Kansas Medical Center; J. Baird, Children’s Hospital of Los Angeles

Estimating the Utility of Using a Predictive Model for Optimizing Advanced Care Planning
S. Kashyap, K. Jung, Stanford University; S. Harman, M. Smith, Stanford University School of Medicine; N. Shah, Stanford University; R. Li, Stanford University School of Medicine

Extracting and Standardizing Medical Examiner Data to Improve Health
S. Berry, University of Mississippi Medical Center; H. Edgar, University of New Mexico, Office of the Medical Investigator

Adapting a System-theoretic Hazard Analysis Method for the Analysis of an eHealth Interoperability Conformance Profile
J. Weber, O. Costa, University of Victoria

The Accuracy vs. Coverage Trade-off In Patient-facing Diagnosis Models
A. Kannan, Curai; J. Fries, Stanford University; E. Kramer, J. Chen, Curai; N. Shah, Stanford University; X. Amatriain, Curai

10:30 a.m. – 12:00 p.m.

Knowledge Extraction of Cohort Characteristics in Research Publications
J. Franklin, S. Chari, Rensselaer Polytechnic Institute; M. Foreman, IBM Research; O. Seneviratne, Rensselaer Polytechnic Institute; D. Gruen, A. Das, IBM Research; J. McCusker, D. McGuinness, Rensselaer Polytechnic Institute

Detecting Intentional Self-harm Reported in Clinical Text Using a Deep Learning Model
J. Obeid, Medical University of South Carolina; B. Bunnell, University of South Florida; J. Dahne, T. Crawford, L. Frey, Medical University of South Carolina

Identifying Predictors from Clinical Text for the American Society of Anesthesiologists Physical Status Classification
S. Moon, A. Wen, P. Kingsbury, J. Kugel, V. Kaggal, J. Pankratz, M. Brown, D. Kor, J. Fan, H. Liu, Mayo Clinic

What Are We Searching for? Patterns and Practices in 12 Million EHR Searches
A. Bhardwaj, H. Ruppel, R. Manickam, Kaiser Permanente Division of Research; M. Flagg, B. Hoberman, The Permanente Medical Group; V. Liu, Kaiser Permanente Division of Research, The Permanente Medical Group

A Word Graph-based Method for Disease Topic Identification in Biomedical Literature
K. Wang, E. Xia, Y. Yu, Z. Huang, S. Huang, J. Mei, S. Li, IBM Research – China

Self-supervised Contextual Language Representation of Radiology Reports to Improve the Identification of Communication Urgency
X. Meng, C. Ganoe, Dartmouth College; R. Sieberg, Y. Cheung, Dartmouth-Hitchcock Medical Center; S. Hassanpour, Dartmouth College

Natural Language Processing for the Evaluation of Methodological Standards and Best Practices of EHR-based Clinical Research
S. Fu, Mayo Clinic, University of Minnesota; L. Carlson, Mayo Clinic; K. Peterson, Mayo Clinic, University of Minnesota; N. Wang, University of Minnesota; X. Zhou, S. Peng, J. Jiang, Y. Wang, J. St. Sauver, H. Liu, Mayo Clinic

A Deep-learning Based System for Accurate Extraction of Blood Pressure Data in Clinical Narratives
T. Xie, Y. Zhen, M. Tavakoli, University of North Carolina at Charlotte; G. Hundley, Virginia Commonwealth University Health System; Y. Ge, University of North Carolina at Charlotte

Extraction and Analysis of Clinically Important Follow-up Recommendations in a Large Radiology Dataset
W. Lau, T. Payne, University of Washington; O. Uzuner, George Mason University; M. Yetisgen, University of Washington

Paraphrasing to Improve the Performance of Electronic Health Records Question Answering
S. Soni, K. Roberts, University of Texas Health Science Center at Houston

Trait Insights Gained by Comparing Genome-wide Association Study Results using Different Chronic Obstructive Pulmonary Disease Definitions
J. Joo, University of Pennsylvania; B. Hobbs, M. Cho, Brigham and Women's Hospital, Harvard Medical School; B. Himes, University of Pennsylvania

GenomeForest: An Ensemble Machine Learning Classifier for Endometriosis
S. Akter, D. Xu, S. Nagel, J. Bromfield, K. Pelch, University of Missouri; G. Wilshire, Boone Hospital; T. Joshi, University of Missouri

Identifying Distinct, Effective Treatments for Acute Hypotension with SODA-RL: Safely Optimized Diverse Accurate Reinforcement Learning
J. Futoma, Harvard University, Duke University; M. Masood, F. Doshi-Velez, Harvard University

Developing a FHIR-based Framework for Phenome Wide Association Studies: A Case Study with A Pan-cancer Cohort
N. Zong, D. Sharma, Y. Yu, J. Egan, J. Davila, C. Wang, G. Jiang, Mayo Clinic

Identifying Genetic Markers Associated with Alzheimer’s Disease Progression Through Image Phenotyping
D. Pena, A. Gottlieb, L. Giancardo, University of Texas Health Science Center at Houston

Toward a More Accurate Accrual to Clinical Trials: Joint Cohort Discovery Using Bloom Filters and Homomorphic Encryption
X. Dong, D. Randolph, University of Illinois at Chicago

The Feasibility of Garbled Circuits for Cross-site Clinical Data Analytics
X. Dong, D. Randolph, University of Illinois at Chicago; X. Wang, Northwestern University

Integrating Electronic Health Record Data into the ADEpedia-on-OHDSI Platform for Improved Signal Detection: A Case Study of Immune-related Adverse Events
Y. Yu, K. Ruddy, A. Wen, N. Zong, S. Tsuji, J. Chen, N. Shah, G. Jiang, Mayo Clinic

The National VA Data Commons Pilot: Principles and Early Results
G. Alterovitz, U.S Department of Veterans Affairs, Boston Children’s Hospital and Harvard Medical School; J. Koufopoulos, U.S. Department of Veterans Affairs; H. Saoudian, VA Salt Lake City Health Care System, University of Utah, School of Medicine; R. Grossman, University of Chicago; R. Ramoni, U.S. Department of Veterans Affairs; S. DuVall, VA Salt Lake City Health Care System, University of Utah, School of Medicine

Is my SMART on FHIR App Ready for Prime Time? A Review Guideline for Building and Evaluating Apps from Proof of Concept to Production
A. Soares, L. Schilling, University of Colorado Anschutz Medical Campus

1:30 p.m. – 3:00 p.m.

Distributed Representations of Literature Predications and Spontaneous Reports for Drug Side-effect Prediction
J. Mower, Rice University; T. Cohen, University of Washington; D. Subramanian, Rice University

An Artificial-intelligent (AI) and Big Data Approach to Prevent Statin-associated Symptoms and Improve Adherence
C. Chi, J. Wang, T. Lenskaia, T. Adam, M. Loth, P. Pradhan, Y. Liang, W. Chen, University of Minnesota; P. Tonellato, University of Missouri; J. Robinson, University of Iowa

Predicting Polypharmacy Side-effects Using Knowledge Graph Embeddings
V. Novacek, S. Mohamed, National University of Ireland Galway, Insight Centre for Data Analytics

Exploring Novel Computable Knowledge in Structured Drug Product Labels
S. Malec, R. Boyce, University of Pittsburgh

sig2db: a Workflow for Processing Natural Language from Prescription Instructions for Clinical Data Warehouses
D. Harris, D. Henderson, A. Corbeau, University of Kentucky

Comparing Concept Normalization Accuracy and Speed for Medical Problems and Medication Allergies
S. Meystre, Medical University of South Carolina, Clinacuity, Inc.; A. Trice, Clinacuity, Inc.; Y. Kim, P. Heider, Medical University of South Carolina

Mental Health Severity Detection from Psychological Forum Data using Domain-Specific Unlabeled Data
B. Patra, University of Texas Health Science Center at Houston; R. Kar, Jadavpur University; K. Roberts, H. Wu, University of Texas Health Science Center at Houston

Mining Misdiagnosis Patterns from Biomedical Literature
C. Li, E. Chen, Brown University; G. Savova, Boston Children's Hospital, Harvard Medical School; H. Fraser, C. Eickhoff, Brown University

Spatial Relation Extraction from Radiology Reports using Syntax-aware Word Representations
S. Datta, K. Roberts, The University Of Texas Health Science Center Houston

Extracting Smoking Status from Electronic Health Records Using NLP and Deep Learning
S. Rajendran, Wake Forest University School of Medicine, Georgia Institute of Technology; U. Topaloglu, Wake Forest University School of Medicine

Impact of Systematic Electronic Patient Reported Outcomes on Oral Cancer-directed Therapy Toxicity and Adherence
N. McCleary, D. Schrag, J. Cleveland, M. Hassett, Dana-Farber Cancer Institute

i2b2: New Features and Roadmap
J. Klann, Harvard Medical School, Partners Healthcare; M. Mendis, Partners Healthcare; D. Keogh, Harvard Medical School; S. Murphy, Partners Healthcare, Massachusetts General Hospital, Harvard Medical School

The "Informatics Extender" as a Method of Knowledge Dissemination for Complex Data Systems
T. Imler, P. Embi, U. Tachinardi, Regenstrief Institute, Inc., Indiana University

Environmental Informatics: A Case Study on the Health Impacts of Wildfire Smoke
L. Cook, Oregon Health & Science University

Clinical Interpretability of Machine Learning in Medical Imaging: Still a Black Box?
K. Wahid, L. van Dijk, C. Fuller, MD Anderson Cancer Center

Standardized Names for Clinical Lab Tests to Prevent Confusion and Improve Patient Safety: the TRUU-Lab National Initiative
I. Singh, Texas Children's Hospital, Baylor College of Medicine

Cyberchondria: Does mHealth Technology Reassure Patients or Promote Hypervigilance?
B. Rosner, University of California, San Francisco

Pitfalls and Lessons Learned from Implementing Patient-reported Outcomes in a Clinical Setting
T. Nelson, Northwestern University; J. Bian, University of Florida; A. Boyd, S. Burton, University of Illinois at Chicago; K. Davis, Northwestern Medicine; K. Fear, A. McIntyre, University of Rochester Medical Center; Y. Guo, K. Martin, D. Weinbrenner, S. White, University of Florida; B. Harris, K. Kochendorfer, A. Valenta, University of Illinois at Chicago; K. Hynes, D. Liebovitz, University of Chicago; ;;; N. Rothrock, J. Starren, Northwestern University;

Evaluating AI in Medicine: Phases of Clinical Research
Y. Park, IBM Research; G. Jackson, IBM Watson Health, Vanderbilt University Medical Center; M. Foreman, D. Gruen, J. Hu, A. Das, IBM Research

The Challenges of Capturing Clinically Accurate Data for Electronic Clinical Quality Measures
J. Kunisch, Memorial Hermann Healthcare System, University of Texas Health Science Center

Of Supersets and Super Users: A Data Governance Decision Support System
M. Sengupta, The Multiple Myeloma Research Foundation

How do you Monitor a Health Information Exchange?
S. El-Azab, S. Hui, K. Allen, Regenstrief Institute, Inc.

3:30 p.m. – 5:00 p.m.

Physician Usage and Acceptance of a Machine Learning Recommender System for Simulated Clinical Order Entry
J. Chiang, A. Kumar, D. Morales, D. Saini, J. Hom, S. Lisa, M. Musen, M. Goldstein, J. Chen, Stanford University

Interpretable Batch IRL to Extract Clinician Goals in ICU Hypotension Management
S. Srinivasan, F. Doshi-Velez, Harvard University

A Machine Learning Approach for Long-term Prognosis of Bladder Cancer based on Clinical and Molecular Features
Q. Song, Dartmouth College; J. Seigne,; A. Schned, Dartmouth-Hitchcock Medical Center; K. Kelsey, Brown University; M. Karagas, S. Hassanpour, Dartmouth College

Predicting Clinical Outcomes with Patient Stratification via Deep Mixture Neural Networks
X. Li, D. Zhu, P. Levy, Wayne State University

A Systematic Review of Studies of Concordance with Treatment Decisions Made in Practice for a Globally Implemented Oncology Clinical Decision-support System
Y. Arriaga, IBM Watson Health, University of Texas Southwestern Medical Center; R. Hekmat, K. Draulis, S. Wang, W. Felix, I. Dankwa-Mullan, A. Preininger, K. Rhee, IBM Watson Health; G. Jackson, IBM Watson Health, Vanderbilt University Medical Center

A Time-course Network Approach to Investigate TF-microRNA Co-regulation During Craniofacial Development
F. Yan, L. Simon, Y. Wang, J. Iwata, P. Jia, University of Texas Health Science Center at Houston; Z. Zhao, University of Texas Health Science Center at Houston, Vanderbilt University Medical Center

Novel Expression-based Phenome-wide Association Study (exPheWAS) Identifies Links Between Lipid-associated Genes and Multiple Disease Outcomes in UK Biobank and eMERGE-III
Y. Veturi, A. Lucas, S. Dudek, A. Verma, University of Pennsylvania; T. Hoffman, University of California, San Francisco; E. Theusch, Children's Hospital Oakland Research Institute; Y. Bradford, J. Miller, M. Ritchie, University of Pennsylvania; H. Hakonarson, P. Sleiman, Children's Hospital of Philadelphia; I. Kullo, D. Schaid, Mayo Clinic;;; Q. Feng, C. Stein, W. Wei, D. Edwards, Vanderbilt University Medical Center; M. Medina, R. Krauss, Children's Hospital Oakland Research Institute; N. Risch, University of California, San Francisco

A Trait-tissue Association Landscape for Human Complex Traits and Diseases
Z. Zhao, P. Jia, Y. Dai, R. Hu, G. Pei, A. Manuel, University of Texas Health Science Center at Houston

PheMap: a Multi-resource Knowledgebase for High-throughput Phenotyping within Electronic Health Records
N. Zheng, Q. Feng, V. Kerchberger, J. Zhao, T. Edwards, N. Cox, M. Stein, D. Roden, J. Denny, W. Wei, Vanderbilt University Medical Center

Leveraging Phenotype Data to Identify Potential Carriers of Deleterious Genetic Variants
T. Morley, L. Bastarache, N. Cox, D. Ruderfer, Vanderbilt University Medical Center

ProTrackS: CTSA Hub Project Tracking System
R. Gouripeddi, R. Madsen, T. Davis, S. Claerhout, J. Facelli, B. LaSalle, University of Utah

Compass – A SMART on FHIR App Utilizing mCODE to Improve Care
Z. Rajput, J. O'Connor, The MITRE Corporation

Accrual to Clinical Trials (ACT) - a SHRINE User Interface Refresh to Search for 125+ Million Lives
A. Maram, G. Weber, Harvard Medical School

10:30 a.m. – 12:00 p.m.

BRret: Retrieval of Brain Research Related Literature
M. Anani, M. Kuntz, I. Kahanda, Montana State University

Automatically Identifying Comparator Groups on Twitter for Digital Epidemiology of Pregnancy Outcomes
A. Klein, University of Pennsylvania; A. Gebreyesus, University of Maryland, Baltimore County; G. Gonzalez-Hernandez, University of Pennsylvania

Towards Automatic Bot Detection in Twitter for Health-related Tasks
A. Davoudi, A. Klein, University of Pennsylvania; A. Sarker, Emory University; G. Gonzalez-Hernandez, University of Pennsylvania

Mining Twitter to Assess the Determinants of Health Behavior Towards Palliative Care in the United States
Y. Zhao, H. Zhang, J. Huo, Y. Guo, Y. Wu, J. Bian, University of Florida

Releasing a Preprint is Associated with More Attention And Citations
D. Fu, J. Hughey, Vanderbilt University Medical Center

An Informatics-based Approach to Identify Key Pharmacological Components in Drug-drug Interactions
J. Deng, F. Wang, Stony Brook University

Binding Pocket Similarity and Protein-ligand Docking Reveal Novel NMDA Receptor Agonists
Y. Pershad, M. Guo, A. Keys, S. Rensi, R. Altman, Stanford University

Predicting the Effects of Chemical–protein Interactions on Proteins Using Tensor Factorisation
S. Mohamed, National University of Ireland Galway, Insight Centre for Data Analytics; A. Nounu, University of Bristol

Bidirectional Analysis of the Relationships Between Phenotypes and Chemicals Using Public Gene Annotations
C. Hawthorne, G. Lopez Campos, Queen's University of Belfast

Simulating Protein Structure to Support Clinical Decisions: Predicting the Ligand Specific Impact of Genomic Variation on Opioid Binding
M. McCoy, Georgetown University Medical Center; W. Reid, Georgetown University; V. Shivakumar, S. Madhavan, Georgetown University Medical Center

Local Topic Mining for Reflective Medical Writing
A. Olex, D. DiazGranados, B. McInnes, Virginia Commonwealth University; S. Goldberg, Virginia Commonwealth University Health System

Standardizing Clinical Diagnoses: Evaluating Alternate Terminology Selection
E. Burrows, H. Razzaghi, L. Utidjian, C. Bailey, Children's Hospital of Philadelphia

Text Snippets to Corroborate Medical Relations: an Unsupervised Approach using a Knowledge Graph and Embeddings
M. Kamdar, C. Stanley, M. Caroll, L. Wogulis, W. Dowling, H. Deus, M. Samarasinghe, Elsevier

BERT-based Ranking for Biomedical Entity Normalization
Z. Ji, Q. Wei, H. Xu, University of Texas Health Science Center at Houston

Automating the Transformation of Free-text Clinical Problems into SNOMED CT Expressions
K. Peterson, Mayo Clinic, University of Minnesota; H. Liu, Mayo Clinic

1:30 p.m. – 3:00 p.m.

Patient and Encounter-level Analyses for Predicting Social Worker Referral Need: A Comparison of Alternative Machine Learning Prediction Approaches
J. Vest, Indiana University Fairbanks School of Public Health; O. Ben-Assuli, Ono Academic College; S. Grannis, Regenstrief Institute, Inc.; S. Kasthurirathne, Indiana University Fairbanks School of Public Health

A Review of Challenges and Opportunities in Healthcare for Machine Learning
M. Ghassemi, University of Toronto, Vector Institute; T. Naumann, Microsoft Research; A. Beam, Harvard University; P. Schulam, Johns Hopkins University; I. Chen, MIT; R. Ranganath, New York University

Predicting Suicide Attempts from Large, Imbalanced Clinical Data
L. Sulieman, C. Walsh, Vanderbilt University Medical Center

Comparison of Supervised Machine Learning and Probabilistic Approaches for Record Linkage
A. McNutt, Regenstrief Institute, Inc.; S. Grannis, Regenstrief Institute, Inc., Indiana University; N. Bo, H. Xu, Indiana University; S. Kasthurirathne, Regenstrief Institute, Inc., Indiana University

Dispersion: A Novel Time-domain Metric Leveraging RR Intervals to Early Detect Ventricular Premature Complexes in Patients with Dominant Sinus Rhythm
M. Tsai, M. Chen, K. Yang, Kura Care LLC

Lessons Learned: Implementing Patient-reported Outcomes (PROs) in Clinical Settings
M. Bass, N. Rothrock, Northwestern University; C. Dasilva, University of Rochester; J. Spuhl, D. Brodke, The University of Utah Health System; J. Johnson, C. Oncken, Washington University School of Medicine; J. Guattery, University of Pittsburgh

Learning to Represent Patient Data With Medical Record Language Models
E. Steinberg, S. Pfohl, K. Jung, N. Shah, Stanford University

Mapping Local Biospecimen Records to the OMOP Common Data Model
C. Michael, Memorial Sloan Kettering Cancer Center, Weill Cornell Medicine; E. Sholle, R. Wulff, G. Roboz, T. Campion, Weill Cornell Medicine

Mondo Disease Ontology: Harmonizing Disease Concepts Across the World
N. Vasilevsky, S. Essaid, Oregon Health & Science University; N. Harris, Lawrence Berkeley National Laboratory; J. McMurry, M. Haendel, Oregon Health & Science University, Oregon State University; P. Robinson, The Jackson Laboratory; C. Mungall, Lawrence Berkeley National Laboratory

Closing Terminology Gaps to Drive Precision Oncology
J. Clark, A. Stewart, Tempus Labs; A. Kho, Northwestern University, Tempus Labs

Using Entity Metrics to Understand Drug Repurposing
X. Li, Y. Ding, W. Lu, Wuhan University

Comparative Analysis and Evaluation of State-of-the-Art Medication Mapping Tools to Transform a Local Medication Terminology to RxNorm
L. Davidson, M. Boland, University of Pennsylvania

Chemical Entity Recognition for MEDLINE Indexing
M. Savery, W. Rogers, National Library of Medicine; M. Pillai, The University of North Carolina at Chapel Hill; J. Mork, D. Demner-Fushman, National Library of Medicine

Developing a Real-time EHR-integrated SDOH Clinical Tool
A. Khurshid, E. Oliveira, A. Kaerwer,; D. Harrell, Dell Medical School at University of Texas-Austin; R. Peters, M. Sither, Dell Medical School; S. Andrews, Dell Medical School at University of Texas-Austin

Evaluating the Concordance between Patient Reported Data and Electronic Health Record Data: A Scalable Query Interface for Complex Analysis
K. Barrett,; J. Malenfant, Harvard Pilgrim Health Care Institute; L. Curtis, J. George, Duke Clinical Research Institute; S. Kripalani, H. Limper, Vanderbilt University Medical Center; E. O'Brien, T. Reece, Duke Clinical Research Institute; J. Brown, Harvard Pilgrim Health Care Institute

3:30 p.m. – 5:00 p.m.

Sharing is Caring: Exploring Machine Learning-enabled Methods for Regional Medical Imaging Exchange Using Procedure Metadata
S. Liaqat, J. Pineda, J. Velayutham, A. Lee, University of Toronto; J. Reicher, Stanford Health Care; J. Nagels, Hospital Diagnostic Imaging Repository Services; M. Ghassemi, University of Toronto, Vector Institute; B. Fine, Trillium Health Partners, University of Toronto

Normalizing Adverse Events Using Recurrent Neural Networks with Attention
K. Lee, O. Uzuner, George Mason University

MultiFusionNet: Atrial Fibrillation Detection With Deep Neural Networks
L. Tran, Y. Li, L. Nocera, C. Shahabi, University of Southern California; L. Xiong, Emory University

Deep Neural Networks Ensemble for Detecting Tweets Mentioning Medications
D. Weissenbacher, University of Pennsylvania; A. Sarker, Emory University; A. Klein, K. O’Connor, University of Pennsylvania; A. Magge Ranganatha, Arizona State University; G. Gonzalez-Hernandez, University of Pennsylvania

Patient Representation Transfer Learning from Clinical Notes based on Hierarchical Attention Network
Y. Si, K. Roberts, University of Texas Health Science Center at Houston

Understanding Enterprise Data Warehouses to Support Clinical and Translational Research: Initial Findings on Architecture, Processes, and Service Management
B. Knosp, Carver College of Medicine; C. Craven, Icahn School of Medicine at Mount Sinai; D. Dorr, Oregon Health & Science University; T. Campion, Weill Cornell Medical College

Standardized Architecture for a Mega-biobank Phenomic Library: The Million Veteran Program (MVP)
K. Knight, Oak Ridge National Laboratory; J. Honerlaw, VA Boston Healthcare System; I. Danciu, F. Linares, Oak Ridge National Laboratory; Y. Ho, VA Boston Healthcare System; D. Gagnon, VA Boston Healthcare System, Boston University School of Public Health; E. Rush, E. Begoli, Oak Ridge National Laboratory; J. Gaziano, K. Cho, VA Boston Healthcare System, Brigham and Women’s Hospital, Harvard Medical School;

A Secondary Analysis of Panoramic Radiographs Reveals Hotspots in the Maxillofacial Region Associated with Diabetes
G. Pack, M. Craven, University of Wisconsin-Madison; A. Acharya, Marshfield Clinic

Applied Veterinary Informatics: Development of a Canine Data Repository to Uncover Disease-breed Associations
M. Boland, University of Pennsylvania; M. Casal, M. Krauss, A. Gelzer, School of Veterinary Medicine, University of Pennsylvania

Effective Remote Patient Monitoring (RPM) System in Managing Population Health for Patients with Hypertension
S. Park, M. Lawley, Texas A&M University; H. Kum, Texas A&M School of Public Health, Texas A&M University

Using a Rothman Index based Clinical Surveillance System to Reduce Mortality – A Randomized Controlled Trial
K. Walsh, B. Askary, S. Hamlin, Houston Methodist Hospital; M. Rothman, J. Beals, PeraHealth

Feature Engineering and Process Mining to Enable Hazard Detection in Health Information Technology
O. Ozmen, H. Klasky, O. Omitaomu, M. Olama, T. Kuruganti, L. Pullum, Oak Ridge National Laboratory; M. Ward, J. Scott, A. Laurio, F. Drews, J. Nebeker, U.S. Department of Veterans Affairs

Developing a Search Engine for Precision Medicine
S. Shenoi, Baylor University; V. Ly, University of Houston, Downtown; S. Soni, K. Roberts, University of Texas Health Science Center at Houston

A Series Registration Framework to Recover Resting-state Functional Magnetic Resonance Data Degraded By Motion
J. Schabdach, University of Pittsburgh; R. Ceschin, University of Pittsburgh, UPMC Children's Hospital of Pittsburgh; V. Lee, V. Schmithorst, UPMC Children's Hospital of Pittsburgh; A. Panigrahy, UPMC Children's Hospital of Pittsburgh, University of Pittsburgh

Combination of MRI Sequences Predicts Cellular Density in Glioma
E. Gates, University of Texas MD Anderson Cancer Center; J. Lin, University of Texas MD Anderson Cancer Center, Rice University, Baylor College of Medicine; J. Weinberg, University of Texas MD Anderson Cancer Center; J. Hamilton, S. Prabhu, J. Hazle, G. Fuller, V. Baladandayuthapani, D. Fuentes, D. Schellingerhout, University of Texas MD Anderson Cancer Center

8:30 a.m. – 10:00 a.m.

Pediatric Obesity Subgroups from Electronic Health Record Data
E. Campbell, Drexel University, Children's Hospital of Philadelphia; M. Maltenfort, Children's Hospital of Philadelphia; J. Shults, C. Forrest, A. Masino, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine

Hierarchical Agglomerative Clustering in Identification of Sub-groups of Heterogeneity among the Youth E-cigarette Users
G. Liu, Penn E. Schaefer, L. Engle, L. Kong, J. Foulds, Penn State College of Medicine

Incidence-based Hierarchical Clustering Analysis of Adverse Drug Events in the FAERS Database
L. Wang, L. Li, The Ohio State University College of Medicine

PDC – a Probabilistic Distributional Clustering Algorithm: A Case Study on Suicide Articles in PubMed
R. Islamaj, L. Yeganova, W. Kim, N. Xie, J. Wilbur, Z. Lu, National Center for Biotechnology Information

Analysis of Inter-domain and Cross-domain Drug Review Polarity Classification
G. Gurdin, J. Vargas, L. Maffey, A. Olex, N. Lewinski, B. McInnes, Virginia Commonwealth University

Characterizing Basic and Complex Usage of i2b2 at an Academic Medical Center
E. Sholle, M. Cusick, M. Davila, J. Kabariti, S. Flores, T. Campion, Weill Cornell Medicine

JITA: A Platform for Enabling Real Time Point-of-Care Patient Recruitment
V. Lee, K. Parekh, G. Matthew, Q. Shi, K. Pelletier, A. Canale, K. Luzuriaga, J. Mathew, University of Massachusetts Medical School

Replacing Paper Informed Consent with Electronic Informed Consent for Research in Academic Medical Centers: A Scoping Review
C. Chen, Weill Cornell

Towards Automating Computational Phenotyping: Exploring the Trade-offs of Different Vocabulary Mapping Strategies
T. Callahan, University of Colorado Denver; J. Wyrwa, University of Colorado Denver Anschutz Medical Campus; K. Trinkley, University of Colorado Skaggs School of Pharmacy and Pharmaceutical Sciences; L. Hunter, University of Colorado Denver; M. Kahn, T. Bennett, University of Colorado Denver Anschutz Medical Campus

Real-World Utility Evaluation of a Cohort Definition System Criteria2Query
K. Wang, A. Butler, C. Weng, Columbia University College of Physicians & Surgeons

10:30 a.m. – 12:00 p.m.

Linkability Assessment for Demographics Data
T. Ong, University of Colorado Anschutz Medical Campus; A. Hill, University of Colorado Denver; S. Grannis, Indiana University; C. Voong, M. Kahn, University of Colorado Anschutz Medical Campus

Impact of a Patient-facing Tool in The Quality of Race and Ethnicity Data
F. Polubriaginof, J. Ewing, NewYork-Presbyterian Hospital; S. Jiang, Weill Cornell Medical Center; K. Fitzgerald, NewYork-Presbyterian Hospital; D. Goffman, Columbia University Irving Medical Center, NewYork-Presbyterian Hospital; D. Vawdrey, Geisinger, Columbia University Irving Medical Center

The Associations Between Identifying a Home Caregiver and Diabetic Patients’ Outcomes: Leveraging Data from Electronic Health Records
Y. Zheng, University of Pittsburgh; J. Hodges, S. Dunn, C. Feiler, Wolff Center at University of Pittsburgh Medical Center; D. Li, University of Pittsburgh; A. Bilderback, S. Martin, B. Anton, Wolff Center at University of Pittsburgh Medical Center

The Evaluation of Clinical Classifications Software Using the National Inpatient Sample Database
M. Salsabili, S. Kiogou, T. Adam, University of Minnesota

Variability in Implementation of Price Transparency: Does it Achieve CMS’ Goals? An Analysis of Dallas Area Implementations
S. Arvisais-Anhalt, S. McDonald, M. Basit, University of Texas Southwestern Medical Center

CytoGPS: A Web-enabled Karyotype Analysis Tool for Cytogeneticists and Biomedical Data Scientists
Z. Abrams, The Ohio State University; L. Zhang, R. Rodriguez, Washington University School of Medicine; L. Abruzzo, K. Coombes, The Ohio State University; P. Payne, Washington University School of Medicine

GPACS: A SMART on FHIR App for Integrating Genotype and EHR Derived Phenotype Data for Real-time Point of Care Access
T. Person, N. Walton, D. Johnson, Geisinger

Jupyter Notebooks for Enabling Non-Programmers Conduct Big Data Visual Analytics
S. Bhavnani, R. Zuhour, T. Chen, University of Texas Medical Branch

1:30 p.m. – 3:00 p.m.

Assessing the Use and Perception of Dietary Supplements Among Obese Patients with National Health and Nutrition Examination Survey
Z. He, L. Barrett, Florida State University; R. Rizvi, University of Minnesota; X. Tang, S. Payrovnaziri, Florida State University; R. Zhang, University of Minnesota

Automated Analysis of Public Health Laboratory Test Results
W. Lu, R. Ng, University of British Columbia

Personalized Antibiograms: Machine Learning for Precision Selection of Empiric Antibiotics
C. Corbin, Stanford University; R. Medford, University of Texas Southwestern Medical Center; K. Osei, J. Chen, Stanford University

Modeling the Hepatitis A Outbreak in the United States
M. Charpignon, Massachusetts Institute of Technology; M. Mironova, Capital Health; S. Rho, Massachusetts Institute of Technology; M. Majumder, Massachusetts Institute of Technology, Harvard Medical School; L. Celi, Massachusetts Institute of Technology, Beth Israel Deaconess Medical Center

Social Program Management Software to Optimize Benefit Application and Management in New York City
J. Snowdon, V. Willis, C. Lefebvre-Paillé, D. Farrell, C. McLoughlin, M. Curtin, W. Kassler, IBM Watson Health; R. Kirchheimer, A. Xhemalallari, L. Aaronson, NYC Human Resources Administration/Department of Social Services

Can Neo4j Replace PostgreSQL in Healthcare?
J. Stothers, A. Nguyen, University of San Francisco

The Impact of Medical Big Data Anonymization on Early Acute Kidney Injury Risk Prediction
X. Song, R. Waitman, University of Kansas Medical Center; Y. Hu, Jinan University; B. Luo, F. Li, University of Kansas; M. Liu, University of Kansas Medical Center

Building Cancer Diagnosis Text to OncoTree Mapping Pipelines for Clinical Sequencing Data Integration and Curation
A. Narayanan, University of North Carolina Chapel Hill, Wake Forest Baptist Medical Center; U. Topaloglu, Wake Forest Baptist Medical Center; F. Diaz-Garelli, Wake Forest Baptist Medical Center, University of North Carolina Charlotte; J. Laurini, Wake Forest Baptist Medical Center, Montefiore Health System

Understanding Chronic Kidney Disease: Augmenting a Code-based Registry from Clinical Records
E. Palmer, D. Crawford, Case Western Reserve University, Institute for Computational Biology; J. O'Toole, J. Sedor, Cleveland Clinic; W. Bush, Case Western Reserve University, Institute for Computational Biology

Expert Perspectives on Definitions, Drivers and Informatics Contributions to Learning Health Systems
G. Hultman, S. Rajamani, University of Minnesota; A. Wilcox, University of Washington; G. Melton, University of Minnesota, University of Minnesota, Fairview Health Services

Inference of Mutational Status, Loss of Heterozygosity, and Clonality in Clinical Tumor Sequencing to Inform Treatment Strategy
J. Loh, N. Jalloul, M. Hadigol, G. Riedlinger, S. Ganesan, H. Khiabanian, Rutgers University

Detection of Metastatic Recurrence Timeline from Clinical Notes
I. Banerjee, Emory University, Stanford University; S. Bozkurt, J. Caswell-Jin, A. Kurian, D. Rubin, Stanford University

Identification of a Cohort of Cancer Patients Treated with Checkpoint Inhibitors in Regional Integrated Health Record Data System as a Foundation for Immunotoxicity Research
T. Walunas, C. Galvez, S. Jacob, J. Sosman, A. Kho, Northwestern University

Data-driven Sublanguage Analysis for Cancer Genomics Knowledge Modeling: Applications in Mining Oncological Genetics Information from Patient's Genetic Reports
Y. Zhao, H. Yu, S. Fu, F. Shen, J. Davila, H. Liu, C. Wang, Mayo Clinic

An Automated Two-step Pipeline for Aggressive Prostate Lesion Detection from Multi-parametric MR Sequence
J. Sanyal, Stanford University; I. Banerjee, Emory University, L. Hahn, D. Rubin, Stanford University

Examining Potential Usability and Health Beliefs Among Young Adults Using a Conversational Agent for HPV Vaccine Counseling
M. Amith, University of Texas Health Science Center at Houston; R. Lin, Johns Hopkins University; R. Cunningham, Texas Children's Hospital; Q. Wu, L. Tang, Texas A&M University ; L. Savas, Y. Gong, C. Tao, University of Texas Health Science Center at Houston; J. Boom, Texas Children's Hospital, Baylor College of Medicine;

Examining the Feasibility of EHR-based Clinical Decision Support for Implementing Choosing Wisely® Guidelines: A Thematic Analysis
B. Douthit, Duke University; C. Staes, G. Del Fiol, University of Utah; R. Richesson, Duke University

A Step Toward Structured Representation of Clinical Alerts within an Enterprise Knowledge Management System
S. Madani, J. Mathe, S. Just, A. Nadas, A. Weitkamp, Vanderbilt University Medical Center

Utilizing User-centered EHR Design for Systematic Deep Brain Stimulation Data Collection
D. Robins, M. Figee, H. Mayberg, J. Finkelstein, Icahn School of Medicine at Mount Sinai

The Impact of Data Communication Style in Quality Reports on Depression Screening in Primary Care
J. Schrom, A. Slam, T. Liu, C. Bouey, L. Berk, A. Gilmore, L. Lesser, R. Behal, One Medical