AMIA 2019 Informatics Summit Posters

Tuesday, March 26
5:00 p.m. – 6:30 p.m.

(*Student Posters)

Towards Reproducibility and Quality in EHR-enabled Data Science – Methods and Strategy
B. Adagarla, B. McCourt, Duke Clinical Research Institute; M. Harker, B. Akindele, Duke University Health System

*Unraveling Renal Cell Carcinoma Differentiation and Prognoses by Integrative Histopathology-transcriptomics Analysis
R. Barber, Princeton University; I. Kohane, K. Yu, Harvard Medical School

Mobile Seizure Reporting and Data Collection Tool for Real-time Clinical Decision Support and Patient Management
J. Bidwell, M. Jackson, A. Fialkow, Boston Children's Hospital; E. Chan, E. Fleegler, TriVox Health; T. Loddenkemper, Boston Children's Hospital

*Representations of Ignorance: Known Unknowns in Prenatal Nutrition
M. Boguslav, K. Cohen, L. Hunter, S. Leach, University of Colorado Anschutz Medical Campus

Using Apple Machine Learning Algorithms to Detect and Subclassify Non-small Cell Lung Cancer
S. Borkowski, James A Haley VA Hospital; S. Mastorides, James A Haley VA Hospital, USF Morsani College of Medicine; C. Wilson, L. DeLand, James A Haley VA Hospital; A. Borkowski, James A Haley VA Hospital, USF Morsani College of Medicine

Provider Survey on Automated Clinical Decision Support System for Cardiovascular Risk Assessment
A. Chaudhry, S. Samudrala, F. Lopez-Jimenez, J. Shellum, R. Nishimura, R. Chaudhry, H. Liu, A. Arruda-Olson, Mayo Clinic

*Phenotyping and Validation of Oncologic Diagnoses and Treatments Using the OMOP Common Data Model
R. Chen, Columbia University, Weill Cornell Medical College, Observational Health Data Sciences and Informatics (OHDSI); T. Falconer, Columbia University, Observational Health Data Sciences and Informatics (OHDSI); G. Hripcsak, Columbia University, Observational Health Data Sciences and Informatics (OHDSI), New York-Presbyterian Hospital

In-home Monitoring and Privacy Concerns Among Older Adults
M. Choi, KAIST

Linking Clinical Molecular Profiles Of Tumors To The Electronic Medical Record
D. Datta, T. Goldstein, University of California San Francisco

Definitions Matter: Data Issues in Sepsis Quality Improvement Efforts
D. Duncan, University of North Carolina Hospitals; R. Kitzmiller, C. Durham, University of North Carolina-Chapel Hill

*Analysis of Random Walk with Restart for Disease Gene Prioritization
B. Dunham, M. Ganapathiraju, University of Pittsburgh

Electronic Health Record Mining for Detection of Suicidality Following Hospitalization for Medical Illness
J. Edgcomb, T. Shaddox, J. Brooks, UCLA

I’ve Got a Golden Ticket! How the ADAPTABLE Study Uses Invitation Codes as a Gateway for Patients to Enroll Through the ADAPTABLE Patient Portal
L. Eskenazi, Duke Clinical Research Institute

Bioinformatic Prediction of C>U RNA Editing Sites for APOBEC3A/G
Z. Falls, S. Mandloi, J. Bono, University at Buffalo; S. Sharma, Roswell Park Comprehensive Cancer Center; R. Samudrala, University at Buffalo; B. Baysal, Roswell Park Comprehensive Cancer Center; P. Elkin, University at Buffalo

Reconstructing the Diagnostic Process in Colorectal Cancer
D. Fort, A. Klinger, E. Price-Haywood, Ochsner Health System

Comparison of Feature Selection Methods and Clinical Knowledge in Medicare Population to Predict High Cost Patients
K. Grover, Z. Grinspan, F. Wang, Weill Cornell Medicine

*Identification and Analysis of Sex Specific Gene Expression Signatures in Alzheimer’s Disease
A. Gupta, University of California San Francisco, The Harker School; M. Paranjpe, M. Sirota, A. Taubes, K. Zalocusky, University of California San Francisco

Design and Implementation of a Chronic Opioid Registry Integrated with an Electronic Health Record
T. Hartman, K. Nolen, L. Nicholls, Pfizer Inc.; C. Lin, K. Trinkley, University of Colorado

Gabriella Miller Kids First Data Resource Center: Advancing Genetic Research in Childhood Cancer and Structural Birth Defects
A. Heath, P. Raman, Y. Zhu, J. Lilly, Children's Hospital of Philadelphia; D. Taylor, P. Storm, A. Waanders, Children's Hospital of Philadelphia, Children's Hospital of Philadelphia, Perelman School of Medicine, University of Pennsylvania; V. Ferretti, Centre Hospitalier Universitaire Sainte-Justine, Ontario Institute of Cancer Research; L. Stein, Ontario Institute of Cancer Research; M. Mattioni, B. Davis-Dusenbery, Seven Bridges Genomics; Z. Flamig, R. Grossman, S. Volchenboum, University of Chicago; S. Mueller, University of California San Francisco; J. Nazarian, Children's National Health System, George Washington University School of Medicine and Health Sciences; A. Resnick, Children's Hospital of Philadelphia

*The Impact of Biobanking Informatics on Translational Biomedical Science: A Case Study on the Biorepository Toolkit
S. Huang, S. Gerace, A. Gonzalez, R. Williams, E. Krause, M. Maria, V. Padmanabhan, J. Pennington, A. Felmeister, Children's Hospital of Philadelphia

Visualization of Clinically Relevant New Information from Clinical Reports in the EHR
G. Hultman, R. Zhang, B. Knoll, R. McEwan, S. Skube, G. Melton, University of Minnesota

*Biosurveillance of Virulence Genes within Human Microbiome Using Public Metagenomic Repositories
R. Jin, S. Mandloi, J. Hu, T. Russo, P. Elkin, University at Buffalo

Automatic Standardization Algorithm for Categorical Laboratory Test Results
M. Kim, Samsung Medical Center; S. Shin, B. Yi, Samsung Medical Center, Sungkyunkwan University

Nested Visualization for Compact, Reusable Representation of EHR Content
P. Kingsbury, V. Kaggal, J. Kugel, S. Moon, A. Wen, J. Pankratz, Mayo Clinic

Standardized Nursing Toxicity Assessments Captured in the Electronic Health Record (EHR) Predict Early Discontinuation of Cancer Therapy: A Pilot Study of the Ohio State Sarcoma Outcomes Registry
D. Liebner, G. Tinoco, J. Chen, Ohio State University

*Cohort Identification for Septic Shock Leveraging Electronic Health Records
F. Loh, A. Michelson, S. Yu, A. Gupta, M. Kollef, A. Lai, P. Payne, Washington University School of Medicine

*A Network-based Approach to Predict Hidden Biological Associations Between Drugs, Proteins and Diseases
S. Mandloi, P. Elkin, University at Buffalo

Leveraging User-centered Design Methods to Support Population Level Cancer Surveillance for the National Cancer Institute
M. Matatova, National Institutes of Health; L. Lourenco, Westat; P. Fearn, National Institutes of Health

Pan-cancer Analysis of Signaling Pathway Activity
J. McDermott, Pacific Northwest National Laboratory, Oregon Health & Science University; V. Danna, O. Arshad, P. Piehowski, Pacific Northwest National Laboratory; A. Agarwal, B. Druker, Oregon Health & Science University; K. Rodland, Pacific Northwest National Laboratory, Oregon Health & Science University

*Data-driven Categorization of Opioid Abuse Trajectories
H. Mobahi, N. Asadzadehzanjani; J. Wojtusiak, George Mason University

*Characterizing Metadata of e-Devices for Interventional Translational Research
T. Morgan, R. Gouripeddi, K. Sward, University of Utah

*Using Medical Claims to Find Disability Risk Factors in Newly Diagnosed Depression Disorders Patients
J. Morrison, Colorado School of Public Health, ReedGroup; F. Gaspar, ReedGroup; C. Dewa, University of California Davis

A Continuous-time Markov Approach for Modelling Myelodysplastic Syndromes Progression from Cross-sectional Data
G. Nicora, F. Moretti, E. Sauta, University of Pavia; L. Malcovati, IRCCS Policlinico San Matteo; M. Della Porta, Cancer Center, Humanitas Research Hospital & Humanitas University; S. Quaglini, University of Pavia; M. Cazzola, IRCCS Policlinico San Matteo; R. Bellazzi, University of Pavia

*A Machine Learning Approach to Predicting Shunt-dependent Hydrocephalus after Aneurysmal Subarachnoid Hemorrhage
M. Oke, R. Jin, P. Elkin, University at Buffalo; J. Davies, University at Buffalo, Jacobs Institute

Propensity Score Matching Using Electronic Health Record Data: Assessing the Impact of Specialist Care
C. Page, Duke Clinical Research Institute; T. Setji, Duke University Medical Center; N. Pagidipati, Duke Clinical Research Institute, Duke University School of Medicine; B. Goldstein, Duke University

Splitting Sentences for Text Simplification: A Machine Learning Approach
M. Pei, G. Leroy, University of Arizona; D. Kauchak, Pomona College; M. Szep, A. Szep, University of Arizona

Predictive Models to Identify Axial Spondyloarthritis
S. Pei, G. Penmetsa, G. Cannon, D. Clegg, B. Sauer, J. Walsh, University of Utah, George E. Wahlen Department of Veterans Affairs Medical Center

REDCap Data Convert: a Script to ETL Spreadsheet Data for REDCap
K. Lavan, Memorial Sloan Kettering Cancer Center, Fordam Universitty; P. Stetson, J. Philip, Memorial Sloan Kettering Cancer Center

DiseaseXpress: Leveraging Large Scale Data from the Kids First Data Resource Center and Children's Brain Tumor Consortium to Define New Therapeutic Opportunities for Childhood Cancers
P. Raman, D. Taylor, K. Rathi, K. Kalletla, Y. Zhu, B. Zhang, A. Cros, J. Nazarian, A. Waanders, Children's Hospital of Philadelphia; S. Mueller, University of California San Francisco; P. Storm, A. Resnick, Children's Hospital of Philadelphia

*Electronic Health Record Connected Virtual Hypertension Management
S. Rea, N. Downing, Stanford University

Finding Understudied Disorders Potentially Associated with Maternal Morbidity and Mortality
L. Rodriguez, D. Demner-Fushman, National Library of Medicine

Data Management Considerations Using Electronic Health Record (EHR) Clinical Notes
U. Rogers, S. Rusincovitch, Duke University; A. Dunning, Duke Clinical Research Institute; R. Craig, Duke Health Technology Systems

*Investigation of Indeterminacy of Temporal Information in Clinical Narratives Based on Linguistic Features of Event and Time Expressions
S. Ryu, A. Brickman, J. Hu, R. Jin, R. Lee, F. LeHouillier, P. Elkin, University at Buffalo

*Registration Boost Performance of Aggressive Prostate Cancer Diagnosis
J. Sanyal, I. Banerjee, D. Rubin, Stanford University

*Analyzing Temporal Progression of Neurofibromatosis Type-1 in Children
A. Shah, A. Gupta, R. Foraker, S. Morris, D. Gutmann, P. Payne, Washington University in St. Louis

Mapping HEDIS-specified NDCs to Semantically Equivalent NDCs
S. Sivashankaran, M. Reading, IBM Watson Health

Visualization of Clinical Pathways for Severe Sepsis Patients
X. Song, M. Liu, R. Waitman, University of Kansas Medical Center; A. Patel, Anurag4Health; S. Simpson, University of Kansas Medical Center

An Online Phenotype Risk Score Calculator Employing Electronic Health Records
P. Speltz, S. Gangireddy, M. Higby-Flowers, J. Denny, L. Bastarache, Vanderbilt Unviversity Medical Center

*Designing Intuitive Dashboards for Real-time Decision Making in ICUs
N. Taskar, A. Gupta, Washington University in St. Louis; A. Michelson, Washington University School of Medicine in St. Louis; F. Loh, S. Yu, Washington University in St. Louis; M. Kollef, Washington University School of Medicine in St. Louis; A. Lai, P. Payne, Washington University in St. Louis

One of These Things is Not Like the Other...Or is it? How to Know When to Repurpose Software Solutions for Your Laboratory
A. Vangeloff, A. Steinert, G. Peterson, K. Meech, Yahara Software

Identifying Hospitalizations on Mechanical Ventilation Through Radiology Data Using NLP
X. Wang, University of Michigan, Department of Veterans Affairs; W. Wiitala, Department of Veterans Affairs; H. Prescott, T. Iwashyna, University of Michigan, Department of Veterans Affairs

*Development and Validation of Extraction Tool for Healthcare Provider Information from the NPPES Registry
B. Webb, Columbia University, Colby College; R. Chen, Columbia University, Weill-Cornell Medical College; K. Natarajan, Columbia University

*An Objective Comparison of Two Clinical Trial Search Engines: and XpertTrial
K. Whelply, University of Alabama at Birmingham, XpertDox; N. Bajaj, T. Mehta, University of Alabama at Birmingham

*Machine Learning Application in Cancer Treatment Response Evaluation to Relieve Inter-observer Variability Among Radiologists
M. Woo, Clemson University; S. Lowe, M. Devane, Greenville Health System; R. Gimbel, Clemson University

Developing a System to Detect Overlooked Radiology Reports
S. Yokota, S. Doi, The University of Tokyo Hospital; T. Imai, K. Ohe, Graduate School of Medicine, The University of Tokyo

*Early Warning, Sepsis Prediction in General Ward
S. Yu, A. Michelson, A. Gupta, F. Loh, M. Kollef, A. Lai, P. Payne, Washington University School of Medicine in St. Louis

Individualized Shared Decision Report to Support Knee and Hip Arthritis Care
H. Zheng, C. Lemay, University of Massachusetts Medical School; D. Lavallee, University of Washington Medical Center; W. Li, P. Franklin, University of Massachusetts Medical School

Wednesday, March 27
5:00 p.m. – 6:30 p.m.

(*Student Posters)

*DNA Methylation Biomarkers of Food Allergy With Application in Diagnostics and Novel Gene Associations
A. Alag, The Harker School

Development and Evaluation of a Website to Facilitate Cascade Screening for Familial Hypercholesterolemia
H. Bangash, T. Suther, D. Kochan, I. Kullo, Mayo Clinic

A Text Mining Approach for Obstetric History Identification in Electronic Health Records
C. Bejan, J. Denny, Vanderbilt University Medical Center

Comparison of Rockwood Index and Risk Analysis Index-Administrative as Predictors of Readmissions
A. Bokov, D. Wilson, UT Health San Antonio; S. Espinoza, P. Shireman, UT Health San Antonio, South Texas Veterans Health Care System

Automated Semantic Dictionary Creation to Capture Digital Rectal Examination Findings from the Clinical Narratives
S. Bozkurt, J. Coquet, I. Banerjee, K. Kan, D. Rubin, J. Brooks, T. Hernandez-Boussard, Stanford University

Using Clinical Notes to Assess the Exposure of Tobacco and Alcohol Use in the Electronic Health Record
J. Chen, Georgia Institute of Technology; A. Ermias, Lipscomb University; C. Bejan, Vanderbilt University Medical Center

eagle-i: An Open Source, Ontology-Driven and Domain-Agnostic Discovery Platform
S. Cheng, J. Schneider, M. Ciriello, D. Keogh, D. Macfadden, Harvard Medical School

Challenges in Measuring Guideline Adherence: Results of Bone Scan Utilization for Prostate Cancer Patients
J. Coquet, J. Park, S. Bozkurt, Stanford University; K. Kan, M. Ferrari, J. Brooks, Stanford University School of Medicine; T. Hernandez-Boussard, Stanford University

Lessons Learned from a Single IRB Review Process
I. Croghan, P. Kingsbury, H. Liu, Mayo Clinic

An Interactive Data Visualization Tool Developed from Deep Learning Implementation to Electronic Health Record Notes
A. Dunning, Duke Clinical Research Institute; Q. Liu, Duke University, Duke Clinical Research Institute; A. Kim, Duke Forge, Duke University Health System; J. Childers, Duke University Health System; S. Rusincovitch, U. Rogers, Duke Forge; R. Henao, Duke University, Duke Clinical Research Institute, Duke Forge

Assessing Clinician Implicit Biases in Opioid Abuse Encounters: A Use Case for Sentiment Analysis of Clinical Text
S. El-Azab, Regenstrief Institute, Inc.; T. Imler, Regenstrief Institute, Inc., Indiana University School of Medicine

Unsupervised Topic Modeling to Quantify Severe Infection Heterogeneity
A. Fohner, University of Washington, Kaiser Permanente; J. Greene, B. Lawson, Kaiser Permanente; J. Chen, Stanford University; P. Kipnis, G. Escobar, V. Liu, Kaiser Permanente

Evaluation of a Clinical Classification Criteria-based EHR Phenotype for Lupus
A. Ghosh, T. Walunas, K. Jackson, J. Pacheco, L. Rasmussen, Y. Luo, A. Chung, D. Erickson, K. Mancera-Cuevas, A. Kho, R. Ramsey-Goldman, Northwestern University

MODIMA: A Method for Multivariate Omnibus Distance Mediation Analysis with Applications in Microbiome Data
B. Hamidi, A. Alekseyenko, Medical University of South Carolina

An Interdisciplinary Approach to Reducing Influenza Infections: a Prototype for Long-Term Care Facilities
E. Hann, Los Angeles Jewish Home for Aging

Early Findings of a Survey on the Perception of Clinical Trial Generalizability Assessment and Eligibility Criteria Design
Z. He, J. Bian, University of Florida

Evaluating In-hospital Death Disparities after Emergency Room Admission to Critical Care
P. Howell, J. Davies, P. Elkin, University at Buffalo

*Constructing Clinical Profiles of Rare Diseases Through Latent Dirichlet Allocation
Z. Huang, N. Iyengar, J. Moody, Duke University; R. Richesson, Duke University School of Nursing

Examining the Effect of Socioeconomic Status in Gene-Environment Interaction Studies Across Multiple Phenotypes
K. Jackson, Y. Deng, L. Zimmerman, Northwestern; P. Sleiman, H. Hakonarson, Children's Hospital of Philadelphia; P. Peissig, B. Holohan, Marshfield Clinic Research Institute; T. Lingren, B. Namjou-Khales, Cincinnati Children's Hospital; L. Rasmussen-Torvik, A. Kho, Northwestern

A Centralized Multi-cohort Data Protection Model for i2b2
R. Johnson, M. Wyatt, G. Gordon, J. Cimino, University of Alabama at Birmingham

A Virtual Tumor Board: Process Optimization of Clinical Decision Support in the VA Healthcare System
A. Katam, J. Bono, S. Sakilay, J. Zola, University at Buffalo; B. Johnson, MAVERIC, VA Boston Healthcare System, University at Buffalo; R. Hall, N. Do, N. Fillmore, F. Meng, MAVERIC, VA Boston Healthcare System; W. Mccray, P. Elkin, University at Buffalo

Voting Ensemble Pruning for De-identification of Electronic Health Records
Y. Kim, S. Meystre, Medical University of South Carolina

Data Visualization as a Clinical Decision Support Tool: Antibiotics
N. Kurtzman, Beth Israel Deaconess Medical Center; E. Kim, Columbia Medical Center; L. Nathanson, A. Grossestreuer, E. Leventhal,; S. Horng, Beth Israel Deaconess Medical Center

Predictive Performance of Deep Learning Models using Longitudinal Electronic Health Records Data
Y. Liang, Z. Xiu, C. O'Brien, A. Bedoya, R. Henao, B. Goldstein, Duke University

Automated Counting of Glomeruli in Kidney Needle Biopsy Using Deep Learning
D. Lituiev, D. Dobi, University of California, San Francisco; S. Cha, R. Cheng, University of California, Berkeley; J. Sohn, Z. Laszik, D. Hadley, University of California, San Francisco

Identifying Protein Features Important for Drug Repurposing
W. Mangione, R. Samudrala, University at Buffalo

Hierarchical Mixed-effect Logistic Regression to Predict Physician Adherence to Personalized Medicine Clinical Decision Support
A. Matsil, M. Shalowitz, H. Dunnenberger, J. Eng, P. Hulick, NorthShore University HealthSystem

Partners Healthcare Data Enclave: Enabling Secure, Robust, Collaborative Access for the Biobank Disease Challenge
M. Mendis, S. Murphy, V. Castro, E. Toscano, E. Merchan, Partners

Validation of a Natural Language Processing System to Identify Peripheral Artery Disease Cases from Clinical Narratives in 3 eMERGE sites
S. Moon, U. Sanchez Rangel, N. Afzal, Mayo Clinic; C. Bejan, Vanderbilt University; N. Shang, Columbia University; S. Sohn, Mayo Clinic; J. Denny, Vanderbilt University; G. Hripcsak, Columbia University; I. Kullo, H. Liu, A. Arruda-Olson, Mayo Clinic

Quantifying Outcomes of Multidrug Resistant Infections Adjusting for Patient Level Case Complexity
C. Nylund, A. Susi, Uniformed Services University; D. Adams, Naval Medical Center Portsmouth

*Implementation and Maintenance of an Established Clinical Decision Support Tool Algorithm: Challenges and Recommendations
M. Padley, Orthopaedic Associates of Michigan, PC, Western Michigan University; T. Madden, Michigan State University; J. Hall, Michigan State University; M. Pate, Michigan State University; J. Brown, Orthopaedic Associates of Michigan, PC

NLM SNOMED-CT nursing lists, little overlap with physicians used terms.
P. Patel, K. Dunn Lopez, A. Boyd, University of Illinois at Chicago

*Hierarchical Clustering of Healthcare Provider Sublanguages by Specialty
K. Peterson, Mayo Clinic, University of Minnesota; P. Kingsbury, Mayo Clinic

*Characterizing Data from Emergency Medical Services Information Systems to Improve Motor Vehicle Crash Surveillance
G. Rajamani, Stanford University; E. Lindemann, G. Silverman, University of Minnesota, University of Minnesota; A. Tremblay, North Memorial Emergency Medical Services; G. Melton, University of Minnesota; C. Tignanelli, University of Minnesota, North Memorial Health Hospital

Enhanced Execution of Standards-based EHR Phenotype Algorithms
L. Rasmussen, Northwestern University Feinberg School of Medicine; R. Kiefer, Mayo Clinic; P. Adekkanattu, Weill Cornell Medicine; J. Pacheco, Northwestern University Feinberg School of Medicine; J. Ancker, Weill Cornell Medicine; G. Jiang, Mayo Clinic; K. Lee, Weill Cornell Medicine; Y. Luo, Northwestern University Feinberg School of Medicine; F. Wang, Z. Xu, J. Pathak, Weill Cornell Medicine

Computational Phenotype for Autism Spectrum Disorders
S. Reji, H. Razzaghi, C. Bailey, CHOP

Predicting AKI in Patients Treated with Empiric Antimicrobial Therapy
W. Rutter, J. Talbert, D. Burgess, University of Kentucky

Open Source Pipeline for Medical Image Data Storage and Extraction
S. Sakilay, S. Doyle, University at Buffalo; D. Elbers, L. Selva, MAVERIC, VA Boston Healthcare System; B. Johnson, MAVERIC, VA Boston Healthcare System, University at Buffalo, BD-STEP, VHA Washington DC; N. Do, MAVERIC, VA Boston Healthcare System, BD-STEP, VHA Washington DC, Boston University School of Medicine; P. Elkin, University at Buffalo, BD-STEP, VHA Washington DC, VA Buffalo Health System

Adaptation of a Group-based, HIV Risk Reduction Intervention to a Mobile App for Young Sexual Minority Men
R. Schnall, Columbia University

Modifying the Order of Medication Search Results in an Electronic Health Record to Increase Physician Generic Prescribing Behavior
J. Schrom, P. Cohen, S. Krisch, T. Fakhouri, One Medical

Deep Learning Approach to Automated Detection of Nuclei in Microscopy Images
V. Sharma, S. Boca, Georgetown University; J. Bender, Perthera Inc; M. McCoy, Y. Gusev, K. Bhuvaneshwar, Georgetown University; B. Harris, Georgetown University Hospital; S. Madhavan, Georgetown University

*Analyzing the Association of Time-varying Vital Signs with In-hospital Mortality and ICU Transfer
Z. Sheng, A. Bedoya, C. O'Brien, S. Luo, B. Goldstein, School of Medicine, Duke University

A Conceptual Model for the Self-monitoring of Blood Pressure: An Integrated Health Model Initiative Implementation Example
C. Smith, American Medical Association; E. Mays, Mays Systems; J. Shalaby, Elimu; P. Tokachichu, C. Vitale, American Medical Association; L. Rozenblit, Prometheus Research

Developing an Online Platform for a Suicide Prevention Community of Practice at the Department of Veterans Affairs
M. Souden, Department of Veterans Affairs, University of Illinois at Urbana-Champaign; J. Stelmack, B. Paris, H. Khan, L. Kok, Department of Veterans Affairs; S. Sethi, J. Lee, A. Aggarwal, C. Blake, M. Twidale, University of Illinois at Urbana-Champaign, Department of Veterans Affairs

Assessing the Fidelity of the Care Team for Identifying Providers Who Should Receive Notifications from Early Warning Systems
A. Tariq, J. Luna, Value Institute/NYP; R. Chaudhry, NewYork-Presbyterian Hospital; K. Tang, Value Institute/NYP; N. Yip, Columbia University Medical Center; R. Green, D. Vawdrey, Value Institute/NYP

Medical Record Reading via Deep Learning Question and Answering
J. Urbain, Milwaukee School of Engineering, Medical College of Wisconsin

The UAB Foundational Ontology (UFO): A Health Ontology for Advancing Clinical and Translational Research
A. Wang, J. Cimino, University of Alabama at Birmingham

*An Alternative Way of Characterizing Injury to Youth on Farms
Z. Wang, University of Georgia, Marshfield Clinic Research Institute

A De-identified Word Embedding Model Trained on the Text of Clinical Case Report Manuscripts
G. Weissman, Z. Flamholz, Perelman School of Medicine, University of Pennsylvania; L. Ungar, University of Pennsylvania

LEAP!Rx: Integrating Exercise as a Prescription within the Clinical and Clinical Trial Workflows of the Electronic Health Record and REDCap
T. Winden, R. Waitman, E. Vidoni, J. Clutton, A. Watts, A. Van Sciver, P. Davis, A. Allen, G. Weaver, J. Burns, Kansas University Medical Center

Computational Drug Repositioning for Precision Cancer Oncology based on Cancer Cells Screening and Analysis
S. Wu, The Ohio State University; Y. Lu, XinJiang Medical University; M. Abhishek, L. Li, L. Cheng, The Ohio State University

*Adversarial Learning in Time-to-Event Prediction
Z. Xiu, Y. Liang, C. O'Brien, A. Bedoya, B. Goldstein, R. Henao, Duke University

*Discovering Drug-disease Interactions Through Phenotype-based Drug Modules
S. Yaddanapudi, A. Jegga, University of Cincinnati

*Heterogeneous Drug Network Modules to Predict and Characterize Drug-drug Interactions
J. Yella, University of Cincinnati, Cincinnati Children’s Hospital Medical Center; A. Jegga, Cincinnati Children’s Hospital Medical Center, University of Cincinnati, University of Cincinnati College of Medicine

Systematic Protein Prioritization for Targeted Proteomics Studies via Literature Mining
K. Yu, Harvard Medical School, Harvard University; T. Lee, Kun Shan University; C. Wang, National Cheng Kung University; Y. Chen, Academia Sinica; C. Re, Stanford University; S. Kou, Harvard University; J. Chiang, National Cheng Kung University; M. Snyder, Stanford University; I. Kohane, Harvard Medical School

*Inconsistency in Racial and Ethnic Classification in CYP450 Pharmacogenetic Studies of Populations of African Ancestry
F. Zhang, Columbia University; J. Finkelstein, Icahn School of Medicine at Mount Sinai

Age as an Important Element in Analyzing Familial Pattern of Diseases
Y. Zhao, A. Wen, Y. Wang, F. Shen, S. Bielinski, H. Liu, Mayo Clinic


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