AMIA 2021 Virtual Informatics Summit Oral Presentations

(The information listed below is as of December 7, 2020)

11:30 a.m. - 1:00 p.m. ET

Mapping the Unmapped Readspace with Whole Genome Sequencing data from 1000 Families
B. Chrisman, C. He, P. Washington, K. Paskov, N. Stockham, J. Jung, D. Wall, M. Varma, Stanford University

Frequent Sampling of LCLs May Affect Genotyping Quality in Whole Genome Sequencing
J. Jung, B. Chrisman, K. Paskov, N. Stockham, P. Washington, M. Varma, M. Sun, D. Wall, Stanford University

An Integrative Network-based Analysis of Genetic Variants and Differential DNA Methylation in Brain Tissue of Multiple Sclerosis Patients
A. Manuel, Y. Dai, The University of Texas at Houston; L. Freeman, The University of Texas at Austin; P. Jia, The University of Texas at Houston; Z. Zhao, The University of Texas at Houston, School of Public Health, The University of Texas Health Science Center at Houston, Vanderbilt University Medical Center

Maximum-flow Formulation Improves Feature Stability of Machine Learning Models Trained on High-dimensional Whole Genome Datasets
M. Varma, K. Paskov, B. Chrisman, M. Sun, J. Jung, N. Stockham, P. Washington, D. Wall, Stanford University

Applying a Computational Transcriptomics-based Drug Repositioning Pipeline to Identify Therapeutic Candidates for Endometriosis
A. Bhoja, UCSF, The Harker School; D. Bunis, B. Le, I. Kosti, C. Li, S. Houshdaran, S. Sen, J. Vallve Juanico, J. Irwin, W. Wang, L. Giudice, M. Sirota, UCSF

1:30 p.m. - 3:00 p.m. ET

A Contextual Inquiry: FDA Investigational New Drug Clinical Review
J. Bidwell, K. Whelply, US Food and Drug Administration (FDA); S. Shepard, University of Maryland; J. Hariadi, US Food and Drug Administration (FDA)

Exploring the Hazards of Scaling Up Clinical Data Analyses: A Drug Side Effect Discovery Case Report
F. Diaz-Garelli, University of North Carolina at Charlotte; T. Johnson, M. Rahbar, E. Bernstam, University of Texas Health Science Center at Houston

Analysis of Health Trajectories Leading to Adverse Opioid Events
A. Gilson, D. Chartash, D. Chang, K. Hawk, G. D’Onofrio, D. Fiellen, R. Taylor, Yale School of Medicine

An Evaluation of Clinical Natural Language Processing Systems to Extract Symptomatic Adverse Events from Patient-authored Free-text Narratives
Y. Wang, D. Gotz, E. Basch, A. Chung, University of North Carolina At Chapel Hill

A Generalizable Framework for Exhaustive Cost-effectiveness Analysis of Drugs for a Given Clinical Indication Leveraging Real-world Evidence
D. Arneson, R. Vashisht, University of California, San Francisco; A. Butte, University of California, San Francisco, University of California Health

Mine the Gap: Utilizing Process Mining to Identify Actual Stroke Care Versus the Guidelines
C. Rose, M. Noshad, Stanford University; V. Liu, Kaiser Permanente Division of Research; J. Adler-Milstein, University of California San Francisco, School of Medicine; J. Chen, Stanford University

Exploring the Hazards of Scaling Up Clinical Data Analyses: A Drug Side Effect Discovery Case Report
F. Diaz-Garelli, University of North Carolina at Charlotte; T. Johnson, M. Rahbar, E. Bernstam, University of Texas Health Science Center at Houston

Bridging the Gaps between Evidence and Practice of Assessing Risks and Addressing Harms by Primary Care Providers for Adults on Chronic Opioid Therapy
M. Mishra, N. Weiskopf, Oregon Health & Science University

Developing an ETL Tool for Converting PCORnet CDM into OMOP CDM
Y. Yu, N. Zong, A. Wen, S. Liu, D. Stone, A. Chamberlain, Mayo Clinic; D. Gabriel, C. Chute, Johns Hopkins University; N. Shah, G. Jiang, Mayo Clinic

Impact of Data Entry Interface Design on Cognitive Workload, Documentation Correctness, and Documentation Efficiency
B. Wilbanks, J. Moss, University of Alabama at Birmingham

Hypothyroidism - A Causal Approach to Testing Assumptions against Empirical Data
R. Glavin, University of San Francisco; R. Ness, Northeastern University; A. Nguyen, University of San Francisco

Applying the Extension for Community Health Care Outcomes (ECHO) Model for Cancer Prevention and Survivorship Care: Formative Evaluation of Program Design
Z. Milgrom, B. Dixon, Regenstrief Institute, Richard M. Fairbanks School of Public Health, Indiana University; E. Mendonca, Regenstrief Institute, Indiana University School of Medicine

Using Patient Counting Analytics to Enhance Data Quality in a Nationwide Clinical Research Network
J. Klann, Harvard Medical School, Massachusetts General Hospital, Mass General Brigham; M. Morris, University of Pittsburgh; V. Gainer, M. Mendis, Mass General Brigham; E. Sendro, Chartis Group; S. Murphy, Mass General Brigham, Massachusetts General Hospital, Harvard Medical School

Evaluating Organizational Readiness for Change in the Implementation of Telehealth and mobile Health Interventions for Chronic Disease Management
I. Fowe, OHSU-PSU School of Public Health

Challenges to Global Standardization of Outcome Measures
Z. Liao, Northeastern University; Y. Quintana, Beth Israel Deaconess Medical Center, Harvard Medical School

The Effects and Patterns among Mobile Health, Social Determinants and Physical Activity: A National Cross-sectional Study
J. Ye, Northwestern University; Q. Ma, University of Chicago

Expert-level Prenatal Detection of Complex Congenital Heart Disease from Screening Ultrasound Using Deep Learning
R. Arnaout, L. Curran, Y. Zhao, UCSF; J. Levine, Boston Children's Hospital; E. Chinn, A. Moon-Grady, UCSF

Prediction of Blood-brain Barrier Permeability to Drugs with FDA Adverse Event Report Derived Embeddings
Y. Wu, University of Washington; J. Mower, D. Subramanian, Rice University; T. Cohen, University of Washington

SAEgnal: A Predictive Assessment Framework for Optimizing Safety Profiles in Immuno-oncology Combination Trials
A. Prokop, Y. Zhang, P. Mukhopadhyay, F. Khan, S. Khader, AstraZeneca

Quantifying COVID-19 In-hospital Deterioration Risk Using Acuity at Admission as Measured by the Rothman Index
J. Beals, PeraHealth, Inc; J. Barnes, D. Durand, Sinai Hospital, LifeBridge Health; J. Rimar, T. Donohue, Yale New Haven Hospital; M. Hoq, Bridgeport Hospital; K. Belk, PeraHealth, Inc; A. Amin, University of California Irvine Medical Center; M. Rothman, PeraHealth, Inc.

Predictive Modeling Using Transcriptomic Signatures of COVID-19 and Other Infectious Diseases
H. Srijay, Duke University; F. Constantine, M. McClain, C. Woods, R. Henao, Duke University, Center for Applied Genomics and Precision Medicine

3:30 p.m. - 5:00 p.m. ET

Confidence Intervals for VERTIcal Grid lOgistic Regression (VERTIGO-CI)
J. Kim, University of California, San Diego; W. Li, X. Jiang, University of Texas Health Science Center at Houston; L. Ohno-Machado, University of California, San Diego

Clinical Impact of Satisfying Group Fairness Constraints in Revised Pooled Cohort Equations
A. Foryciarz, S. Pfohl, N. Shah, Stanford University

Improving Social Determinants of Health Screening: Examination of Patients with Limited English Proficiency
E. Kim, Zucker School of Medicine at Hofstra/Northwell, Northwell Health; K. Kausar, S. Mishra, Northwell Health; A. Fischer, Zucker School of Medicine at Hofstra/Northwell; S. Zak, Northwell Health; M. Oppenheim, J. Conigliaro, Zucker School of Medicine at Hofstra/Northwell, Northwell Health

Identifying Biases in Clinical Decision Models Designed to Predict Need of Wraparound Services
S. Kasthurirathne, Indiana University School of Medicine; J. Vest, Indiana University; S. Grannis, Indiana University School of Medicine

Community-based Organizations as Partners in Addressing Disparities in Infant Mortality: Establishing an Infrastructure for Routine Data Collection.
N. Fareed, C. Swoboda, J. Lawrence, T. Griesenbrock, T. Huerta, Ohio State University

COVID-19 Diagnostic Testing Prediction Using Natural Language Processing to Power a Data-driven Symptom Checker
S. Meystre, P. Heider, Y. Kim, Medical University of South Carolina

Quantification of BERT Diagnosis Generalizability Across Medical Specialties Using Semantic Dataset Distance
M. Khambete, nference, LLC, Massachusetts Institute of Technology; W. Su, nference, LLC, Penn Medicine; J. Garcia, nference, LLC; J. Lehar, Boston University; M. Kang, nference, LLC, Mayo Clinic; M. Badgeley, nference, LLC, Massachusetts Institute of Technology

Pseudo-data Generation for the Extraction of Problems, Treatments, and Tests
J. Smith, E. French, W. Cramer, B. McInnes, O. Uzuner, George Mason University

A Discrete Joint Model for Entity and Relation Extraction from Clinical Notes
Z. Ji, O. Ghiasvand, S. Wu, H. Xu, University of Texas Health Science Center at Houston

Unmasking the Conversation on Masks: Natural Language Processing for Topical Sentiment Analysis of COVID-19 Twitter Discourse
A. Sanders, R. White, L. Severson, R. Ma, R. McQueen, H. Campos Alcântara Paulo, Y. Zhang, J. Erickson, K. Bennett, Rensselaer Polytechnic Institute

11:30 a.m. - 1:00 p.m. ET

Comparison of Ease of Use and Comfort in Fitness Trackers for Subjects Impaired by Parkinson’s disease: An Exploratory Study
J. Patel, Indiana University School of Informatics and Computing, Indiana University School of Dentistry, Temple University; P. Lai, D. Dormer, R. Gullapelli, Indiana University School of Informatics and Computing; H. Wu, Indiana University School of Informatics and Computing, Temple University; J. Jones, Indiana University School of Informatics and Computing

Differentiating between Hemorrhage and Sepsis for Hypotensive Patients Using Arterial Pressure Data
X. Li, Carnegie Mellon University; E. Pokropek, Carnegie Mellon University, Warsaw University of Technology; M. Pinsky, University of Pittsburgh; A. Dubrawski, Carnegie Mellon University

Brain Atlas Guided Attention U-Net for White Matter Hyperintensity Segmentation
Z. Zhang, K. Powell, C. Yin, The Ohio State University; S. Cao, Tencent Jarvis Lab; D. Gonzalez, Y. Hannawi, P. Zhang, The Ohio State University

The Impact of Sickle Cell Status on Adverse Delivery Outcomes Using Electronic Health Record Data
S. Canelón, University of Pennsylvania; S. Butts, University of Pennsylvania Perelman School of Medicine; M. Boland, University of Pennsylvania, Children's Hospital of Philadelphia

Examining Patterns of Computerized Physician Order Entry in Emergency and Inpatient Heart Failure Management
Y. Zhang, Weill Cornell Medical College, Cornell University; J. Park, Weill Cornell Medicine; Y. Liu, Weill Cornell Medical College, Cornell University; R. Trepp, Columbia University Vagelos College of Physicians and Surgeons; J. Ancker, Weill Cornell Medical College, Cornell University; K. Axsom, Columbia University Vagelos College of Physicians and Surgeons; J. Pathak, Weill Cornell Medical College, Cornell University; P. Steel, Weill Cornell Medicine

Preferential MoE: Interpretable Models that Rely on Human Expertise As Much As Possible
M. Pradier, J. Zazo, S. Parbhoo, Harvard University; R. Perlis, Massachussetts General Hospital; M. Zazzi, University of Sienna; F. Doshi-Velez, Harvard University

Assessing the Impact of Imputation on the Interpretations of Prediction Models: A Case Study on Mortality Prediction for Patients with Acute Myocardial Infarction
S. Payrovnaziri, A. Xing, S. Salman, X. Liu, J. Bian, Z. He, Florida State University

More Generalizable Models for Sepsis Detection
J. Gao, University of Wisconsin-Madison; P. Mars, Saint Louis University; G. Chen, University of Wisconsin-Madison

Algorithmic Fairness in Risk Prediction Models for Patients with Opioid Use Disorder
Y. Park, IBM Research; M. Singh, IBM T. J. Watson Research Center; I. Sylla, E. Xiao, IBM Research; J. Hu, IBM T. J. Watson Research Center; A. Das, IBM Research

Towards a Checklist for Data-driven Predictive Models
P. Petousis, A. Garlid, W. Hsu, A. Bui, UCLA

1:30 p.m. - 3:00 p.m. ET

Recommender System of Scholarly Papers Using Public Datasets
J. Zhu, B. Patra, A. Yaseen, The University of Texas Health Science Center at Houston

Understanding Clinical Trial Reports: Extracting Medical Entities and Their Relations
B. Nye, J. DeYoung, E. Lehman, Northeastern University; A. Nenkova, University of Pennsylvania; I. Marshall, King's College London; B. Wallace, Northeastern University

Privacy-preserving Transitive Record Linkage
A. Hill, University of Colorado Denver; M. Kahn, University of Colorado Anschutz Medical Campus; S. Grannis, Indiana University, Regenstrief Institute; C. Voong, L. Schilling, T. Ong, University of Colorado Anschutz Medical Campus

Privacy-preserving Sequential Pattern Mining in distributed EHRs for Predicting Cardiovascular Disease
E. Lee, L. Xiong, V. Hertzberg, R. Simpson, J. Ho, Emory University

Deriving Family History Scores from Electronic Health Record Data for Prediction of Disease Risk
N. Larson, Y. Zhao, J. St. Sauver, V. Roger, H. Liu, S. Bielinski, Mayo Clinic

ResultsMyWay: Combining FHIR, Clinical Quality Language (CQL), and Informational Resources to Create a Newborn Screening Application
M. Watkins, K. Eilbeck, University of Utah

Ranking Methodology to Evaluate the Severity of a Quality Gap Using a National EHR Database
S. Sivasankar, Children's Mercy Research Institute, University of Missouri-Kansas City; A. Cheng, University of Missouri-Kansas City; M. Hoffman, Children's Mercy Research Institute, University of Missouri-Kansas City

Explainable AI-based Clinical Decision Support System for Hearing Disorders
K. Tarnowska, B. Dispoto, J. Conragan, San Jose State University

Outcomes of a Clinical Decision Support (CDS) Tool Informed by Implementation Science: A Cluster-randomized Controlled Trial to Improve Heart Failure Prescribing
K. Trinkley, University of Colorado, Adult and Child Consortium for Outcomes Research and Delivery Science; M. Kroehl, Charter Communications Corporation; M. Kahn, University of Colorado; L. Allen, T. Bennett, University of Colorado, Adult and Child Consortium for Outcomes Research and Delivery Science; G. Hale, H. Haugen, S. Heckman, D. Kao, University of Colorado; D. Matlock, University of Colorado, Adult and Child Consortium for Outcomes Research and Delivery Science, VA Eastern Colorado Geriatric Research Education and Clinical Center; D. Malone, University of Utah; R. Page II, University of Colorado; K. Suresh, University of Colorado, Adult and Child Consortium for Outcomes Research and Delivery Science; C. Lin, University of Colorado

CQL4NLP: Development and Integration of FHIR NLP Extensions in Clinical Quality Language for EHR-driven Phenotyping
A. Wen, Mayo Clinic; L. Rasmussen, Northwestern University; D. Stone, S. Liu, R. Kiefer, Mayo Clinic; P. Adekkanattu, Weill Cornell Medicine; P. Brandt, University of Washington; J. Pacheco, Y. Luo, Northwestern University; F. Wang, J. Pathak, Weill Cornell Medicine; H. Liu, G. Jiang, Mayo Clinic

Empirical Findings on the Role of Structured Data, Unstructured Data, and their Combination for Automatic Clinical Phenotyping
A. Moldwin, T. Goodwin, D. Demner-Fushman, National Library of Medicine

Deep Clinical Phenotyping and Network Analysis of Alzheimer Disease Patients Leveraging Electronic Medical Records Data
A. Tang, M. Sirota, UCSF

Phenoflow: A Microservice Architecture for Portable Workflow-based Phenotype Definitions
M. Chapman, King's College London; L. Rasmussen, J. Pacheco, Northwestern University; V. Curcin, King's College London

Temporal Phenotypic Progression in Neurofibromatosis Type 1
D. Schlueter, National Human Genome Research Institute; L. Bastarache, J. Smith, Vanderbilt University Medical Center; J. Denny, National Institutes of Health

Development of an Informatics Algorithm to Link Seasonal Infectious Diseases to Birth-dependent Diseases Across Species: A Case Study with Osteosarcoma
S. Tadlock, University of Pennsylvania; C. Phillips, Children's Hospital of Philadelphia; M. Casal, M. Krauss,; A. Gelzer, University of Pennsylvania School of Veterinary Medicine; M. Boland, University of Pennsylvania

11:30 a.m. - 1:00 p.m. ET

Using SNOMED CT Relationships for Data Exploration and Discovery in Rare Diseases - An Interactive Data Visualization Tool
T. Balmat, Duke University; R. Richesson, University of Michigan

Ontologizing Health Systems at Scale: Making Translational Discovery a Reality
T. Callahan, J. Wyrwa, University of Colorado Anschutz Medical Campus; N. Vasilevsky, Oregon Health Sciences University; P. Robinson, The Jackson Laboratory for Genomic Medicine; M. Haendel, Oregon State University; L. Hunter, M. Kahn, University of Colorado Anschutz Medical Campus

A Knowledge Graph Strategy for Integrating Clinical and Experimental COVID-19 Data
J. Reese, D. Unni, Lawrence Berkeley National Laboratory; T. Callahan, University of Colorado; L. Cappelletti, University of Milano; V. Ravanmehr, The Jackson Laboratory for Genomic Medicine; S. Carbon, Lawrence Berkeley National Laboratory; T. Fontana, Politecnico di Milano; H. Blau, The Jackson Laboratory for Genomic Medicine; N. Matentzoglu, Independent Contractor; N. Harris, Lawrence Berkeley National Laboratory; M. Munoz-Torres, Oregon State University; M. Haendel, Oregon State University; K. Shefchek, Oregon State University; P. Robinson, The Jackson Laboratory for Genomic Medicine; M. Joachimiak, C. Mungall, Lawrence Berkeley National Laboratory

Drug-wide Association Studies of Cancer Using Real-world Health Data
R. Melamed, University of Massachusetts, Lowell

Node and Edge Enrichment Analysis through Bipartite Networks: Application to Gene Mutations in Breast Cancer
S. Bhavnani, UTMB; J. Warner, Vanderbilt University; T. Chen, W. Zhang, UTMB; Z. Zhang, Burning Rock Biotech; C. Balch, MD Anderson Cancer Center; K. Suzanne, University of Texas Medical Branch; N. Liao, Guangdong General Hospital

Integrating Biomedical Informatics Training into Existing High School Curricula
A. Diwadkar, S. Yoon, J. Shim, University of Pennsylvania; M. Gonzalez, University of Pennsylvania, Children's Hospital of Philadelphia; R. Urbanowicz, University of Pennsylvania; B. Himes, University of Pennsylvania

Developing and Deploying a Scalable Computing Platform to Support MOOC Education in Clinical Data Science
D. Mayer, S. Russell, M. Wilson, M. Kahn, L. Wiley, University of Colorado Anschutz Medical Campus

Evaluating Organizational Readiness for Change in the Implementation of Telehealth and mobile Health Interventions for Chronic Disease Management
I. Fowe, OHSU-PSU School of Public Health

Communicating Results of Predictive Models to Patients
C. Walsh, Vanderbilt University Medical Center; M. McKillop, IBM Watson Health; P. Lee, J. Harris, C. Simpson, L. Novak, Vanderbilt University Medical Center

Telemedicine use Among Geriatric Outpatients During the COVID Pandemic
A. Szerszen, Y. Kogan, Y. Romm, S. Mishra, E. Burns, Northwell Health

1:30 p.m. - 3:00 p.m. ET

Rapid Creation of a De-identified COVID-19 Dataset for Clinical Research
T. Magoc, Y. Galvan, R. Deason, University of Florida; J. Fishe, G. Labilloy, University of Florida-Jacksonville; G. Lipori, UF Health; I. Tfirn, University of Florida-Jacksonville; C. Harle, University of Florida

Creating a National COVID-19 Limited Data Set: Regulatory and Governance Innovations within the National COVID Cohort Collaborative (N3C)
M. Haendel, Oregon Health & Sciences University; C. Suver, Sage Bionetworks; J. Solway, University of Chicago; J. Wilbanks, Sage Bionetworks; J. Rutter, National Center for Advancing Translational Science

A Specialized COVID-19 Ontology for the ACT Network
S. Visweswaran, M. Samayamuthu, M. Morris, University of Pittsburgh; G. Weber, D. MacFadden, P. Trevvett, Harvard Medical School; J. Klann, Harvard Medical School, Mass General Brigham; V. Gainer, Mass General Brigham; S. Murphy, Harvard Medical School, Mass General Brigham

Association of a History of Pneumonia with Mortality for Coronavirus Disease 2019 (COVID-2019)
Z. Strasser, Massachusetts General Hospital, Harvard Medical School; H. Estiri, S. Murphy, Massachusetts General Hospital, Harvard Medical School, Mass General Brigham

Transparency, Reproducibility, and Team Science in the National COVID Cohort Collaborative (N3C)
A. Walden, Oregon Health and Science University; D. Gabriel, John Hopkins University; J. McMurry, Oregon State University; A. Williams, Tufts University; V. Subbian, The University of Arizona; K. Gersing, National Center for Advancing Translational Sciences; N. Harris, Lawrence Berkeley National Laboratory; C. Chute, John Hopkins University; M. Haendel, Oregon Health and Science University

Severity Prediction for COVID-19 Patients via Recurrent Neural Networks
J. Lee, C. Ta, J. Kim, C. Liu, C. Weng, Columbia University

A Method to Link Neighborhood-level Covariates to COVID-19 Infection Patterns in Philadelphia Using Spatial Regression
M. Boland, J. Liu, C. Balocchi, J. Meeker, University of Pennsylvania; R. Bai, University of South Carolina; I. Mellis, D. Mowery, D. Herman, University of Pennsylvania

Heterogeneity in COVID-19 Patients at Multiple Levels of Granularity: From Biclusters to Clinical Interventions
S. Bhavnani, UTMB; E. Kummerfeld, University of Minnesota; W. Zhang, Y. Kuo, UTMB; S. Visweswaran, University of Pittsburgh; M. Raji, R. Radhakrishnan, G. Golvoko, University of Texas Medical Branch; M. Usher, G. Melton, C. Tignanelli, University of Minnesota

Discovering Changes in the Neonatal Intensive Care Unit Structures Before and During the COVID-19 Pandemic: A Network Analysis
H. Mannering, Loyola University, Vanderbilt University Medical Center; C. Yan, Vanderbilt University, Vanderbilt University Medical Center; M. Alrifai, D. France, Vanderbilt University Medical Center; Y. Chen, Vanderbilt University

Impact of COVID-19 Pandemic on the Use of Telemedicine in an Academic Medical Center in New York City
W. Cui, J. Finkelstein, Icahn School of Medicine at Mount Sinai

FHIR Used to Expedite sIRB Workflow
W. Hammond, J. Topping, K. Asfaw, D. Rodden, V. West, L. Muhlbaier, E. Eisenstein, Duke University

A Landscape Survey of Planned SMART/HL7 Bulk FHIR Data Access API Implementations and Tools
J. Jones, Boston Children's Hospital; D. Gottlieb, J. Mandel, Boston Children's Hospital, Harvard Medical School; V. Ignatov, A. Ellis, Boston Children's Hospital; K. Mandl, Boston Children's Hospital, Harvard Medical School

Predicting Primary Cancers Based on HL7 Fast Healthcare Interoperability Resources (FHIR) and Resource Description Framework (RDF)
N. Zong, Mayo Clinic; V. Ngo, University of California Davis Health; D. Stone, A. Wen, Y. Zhao, Y. Yu, S. Liu, M. Huang, C. Wang, G. Jiang, Mayo Clinic

Integration of NLP2FHIR Representation with Deep Learning Models for EHR Phenotyping: A Pilot Study on Obesity Datasets
S. Liu, Mayo Clinic; Y. Luo, Northwestern University; D. Stone, N. Zong, A. Wen, Y. Yu, Mayo Clinic; L. Rasmussen, Northwestern University; F. Wang, J. Pathak, Cornell University; H. Liu, G. Jiang, Mayo Clinic

Interoperable and Computable Evidence-Based Medicine (EBM) on FHIR
A. Soares, L. Schilling, University of Colorado Anschutz Medical Campus; B. Alper, Computable Publishing LLC

Extracting Concepts for Precision Oncology from the Biomedical Literature
N. Greenspan, Rice University; Y. Si, K. Roberts, University of Texas Health Science Center at Houston

Auto-mapping Clinical Documents to ICD-10 using SNOMED-CT
N. Isaradech, Chiang Mai University; P. Khumrin, Biomedical Informatics Center

Benchmarking Modern Named Entity Recognition Techniques for Free-text Health Record Deidentification
A. Ahmed, A. Abbasi, C. Eickhoff, Brown University

Performance of Automatic De-identification Across Different Note Types
N. Dobbins, D. Wayne, University of Washington; O. Uzuner, George Mason University; M. Yetisgen, University of Washington

Generative Adversarial Networks for Creating Synthetic Free-text Medical Data: A Proposal for Collaborative Research and Re-use of Machine Learning Models
S. Kasthurirathne, Indiana University; G. Dexter, Purdue University; S. Grannis, Indiana University

Mobilizing the Accrual to Clinical Trials (ACT) Network for Covid-19 Research (and Beyond)
S. Murphy, V. Gainer, Mass General Brigham; S. Visweswaran, M. Morris, University of Pittsburgh; J. Klann, Massachusetts General Hospital; D. MacFadden, G. Weber, Harvard Medical School

COVID-19 Data Commons: A Single Source of Truth
V. Garcia, R. Wong, S. Gayen, T. Nguyen, R. Fernandes, S. Ali, J. Saltz, J. Hajagos, R. Moffitt, T. Kurc, S. Mallipattu, R. Jawa, A. Singer, M. Saltz, Stony Brook University Hospital

Proactive Public Health Response: The power of localized data
P. Plantes, S. Chavis, hc1

Developing and Implementing a “Digital First” Patient Journey in your Organization post COVID-19
C. Kunney, R. Hammar, J. Tyler, Document Storage Systems, Inc.; D. LaBorde, Brain Trust Advisors, LLC, Document Storage Systems, Inc., Iconic Data, Inc.

How a Zoom Forum is Changing the Way Researchers Study Covid-19 at Mass General Brigham
V. Gainer, Mass General Brigham, Harvard Medical School, Massachusetts General Hospital; N. Wattanasin, V. Castro, T. Wang, H. Park, Mass General Brigham; S. Murphy, Mass General Brigham, Harvard Medical School, MGH

Sibling-pair Linkage Test Reveals Protective Autism Locus at 10q26
K. Paskov, N. Stockham, B. Chrisman, P. Washington, Stanford University; M. Tsou, Northeastern University; M. Varma, J. Jung, D. Wall, Stanford University

Implementation of a Household Level COVID-19 Symptom Screening Tool in Schools
E. Kerns, A. Honcoop, R. McCulloh, University of Nebraska Medical Center

A Comparative View of Reported Adverse Effects of Statins in Social Media, Regulatory Data, Drug Information Databases, and Systematic Reviews
S. Golder, University of York; K. Smith, Regis University; K. O'Connor, G. Gonzalez, University of Philadelphia

A Natural Language Processing (NLP) Pipeline to Evaluate BRCA1/2 Testing in Ovarian Cancer Patients at City of Hope Cancer Center and Affiliated Community Sites
R. Ottesen, S. Gray, J. Nikowitz, J. Hom, J. Kilburn, City of Hope; L. Lopez, University of Texas at Austin; S. Wing, S. Shehayeb, City of Hope; J. Shen, The State University of New York at Stoneybrook; M. Cristea, M. Morris, B. Dilsizian, J. Niland, City of Hope

Deep Multi-view Clustering (DMVC) to Characterize Chronic Cough Clusters using EHR data
X. Luo, Purdue School of Engineering and Technology; W. Shao, Z. Zhang, Indiana University School of Medicine; Z. Han, Regenstrief Institute, Inc., Indiana University School of Medicine; V. Chandrasekaran, V. Turzhitsky, V. Bali, Center for Observational and Real-World Evidence (CORE), Merck & Co., Inc.; A. Roberts, M. Metzger, J. Baker, Regenstrief Institute, Inc.; C. La Rosa, J. Weaver, Center for Observational and Real-World Evidence (CORE), Merck & Co., Inc.; P. Dexter, Regenstrief Institute, Inc., Eskenazi Health, Indiana University School of Medicine; K. Huang, Regenstrief Institute, Inc., Indiana University School of Medicine

10:00 a.m. - 11:30 a.m. ET

Recurrent Neural Networks to Automatically Identify Rare Disease Epidemiologic Studies from PubMed
J. John, Stanford University; E. Sid, Q. Zhu, National Center for Advancing Translational Sciences (NCATS), National Institutes of Health (NIH)

Classification of Chest Injury Severity Using Clinical Documents
S. Kulshrestha, Loyola University Chicago, Loyola University Medical Center; D. Dligach, Loyola University Chicago; X. Su, University of Arizona; R. Gonzalez, Loyola University Chicago, Loyola University Medical Center; C. Joyce, Loyola University Chicago; M. Churpek, M. Afshar, University of Wisconsin

Leveraging Spatial Information in Radiology Reports for Ischemic Stroke Phenotyping
S. Datta, S. Khanpara, R. Riascos, K. Roberts, The University of Texas Health Science Center at Houston

Applications of Aspect-based Sentiment Analysis on Psychiatric Clinical Notes to Study Suicide in Youth
A. George, University of British Columbia, BC Children's Hospital; D. Johnson, G. Carenini, University of British Columbia; A. Eslami, BC Children's Hospital, University of British Columbia; R. Ng, University of British Columbia; E. Portales-Casamar, BC Children's Hospital, University of British Columbia

An Examination of the Statistical Laws of Semantic Change in Clinical Notes
K. Peterson, Mayo Clinic, University of Minnesota; H. Liu, Mayo Clinic

Detection of Anomalous Patterns Associated with the Impact of Medications on 30-Day Hospital Readmission Rates in Diabetes Care
W. Ogallo, G. Tadesse, S. Speakman, A. Walcott, IBM Research Africa

Blending Knowledge in Deep Recurrent Networks for Adverse Event Prediction at Hospital Discharge
P. Chakraborty, J. Codella, P. Madan, Y. Li, H. Huang, Y. Park, IBM; C. Yan, Z. Zhang, C. Gao, S. Nyemba, Vanderbilt University; X. Min, S. Basak, M. Ghalwash, Z. Shahn, P. Suryanarayanan, I. Buleje, S. Harrer, S. Miller, A. Rajmane, IBM; C. Walsh, J. Wanderer, Vanderbilt University; G. Yuen-Reed, K. Ng, D. Sow, IBM; B. Malin, Vanderbilt University

An Analysis of Two Sources of Cardiology Patient Data to Measure Medication Agreement
R. Goueth, A. Cohen, N. Weiskopf, Oregon Health & Science University

Extracting Adverse Drug Events from Clinical notes
D. Mahendran, B. McInnes, Virginia Commonwealth University

MAgEC: Using Non-homogeneous Ensemble Consensus for Predicting Drivers in Unexpected Mechanical Ventilation
S. Giampanis, A. Mahajan, T. Goldstein, B. Norgeot, Anthem

Effect of Reopening Orders on Covid-19 Hospitalizations in the US
R. Nachum, Thomas Jefferson High School for Science and Technology; L. Pageler, Homestead High School; N. Majeti, Palo Alto Senior High School; W. Ding, San Mateo High School; J. Omiye, Stanford University

Generating (Factual?) Narrative Summaries of RCTs: Experiments with Neural Multi-Document Summarization
B. Wallace, S. Saha, Northeastern University; F. Soboczenski, I. Marshall, King's College London

Winners and Losers of Global Health Development: Exploiting Temporal Concept Drift of Under-5 Mortality Prediction Models with Bias Scan
I. Idrees, Brown University, IBM Research; S. Speakman, W. Ogallo, V. Akinwande, IBM Research

Refined, Regionally-specific Data Standards Reveal Heterogeneity in Hispanic Death Records
S. Berry, Western Michigan University Homer Stryker MD School of Medicine; H. Edgar, C. Mosley, K. Hunley, University of New Mexico

Data-level Linkage of Multiple Surveys for Improved Understanding of Global Health Challenges
G. Tadesse, C. Cintas, W. Ogallo, S. Speakman, A. Walcott, K. Weldemariam, IBM Research

2:00 p.m. - 3:30 p.m. ET

The Impact of Data Availability on Algorithmic Diabetes Type Detection using Electronic Health Records: The SEARCH for Diabetes in Youth Study
F. Diaz-Garelli, University of North Carolina at Charlotte; K. Lenoir, L. Wagenknecht, Wake Forest School of Medicine; D. Dabelea, T. Crume, University of Colorado Denver; C. Pihoker, University of Washington; E. Lustigova, Kaiser Permanente Research; J. Divers, Long Island School of Medicine; B. Wells, Wake Forest School of Medicine

Data Characterization of Medicaid: Legacy and New Data Formats in the CMS Virtual Research Data Center
N. Williams, C. Mayer, V. Huser, NLM

ctGATE: A Clinical Trial Generalizability Assessment Toolbox
Z. He, F. Erdenasileng, X. Tang, Y. Xu, Florida State University; Q. Li, University of Florida; N. Charness, Florida State University; W. Hogan, T. George, Y. Guo, J. Bian, University of Florida

A Comparison between Human and NLP-based Annotation of Clinical Trial Eligibility Criteria Text Using The OMOP Common Data Model
H. Liu, X. Li, F. Kury, C. Yuan, A. Butler, Y. Sun, A. Ostropolets, Columbia University; H. Xu, The University of Texas Health Science Center at Houston; C. Weng, Columbia University

CONSIDER Statement: Consolidated Recommendations for Sharing
Individual Participant Data from Human Clinical Studies

C. Mayer, N. Williams, V. Huser, National Institutes of Health

Early Detection of Post-surgical Complications using Time-series Electronic Health Records
D. Chen, J. Jiang, S. Fu, G. Demuth, S. Liu, G. Schaeferle, P. Wilson, E. Habermann, D. Larson, C. Storlie, H. Liu, Mayo Clinic

Application of a Novel Sequential Pattern Mining Method to Study Longitudinal Social Determinants of Health through Young Adulthood: The CARDIA Study
L. Zimmerman, D. Lloyd-Jones, K. Kershaw, Northwestern University; D. Rehkopf, Stanford University; Y. Luo, Northwestern University

Machine Learning Approaches for Predicting Diabetes-related Long-term Complications Using Real-world EHR Data
A. Mosa, C. Thongmotai, H. Islam, K. Hossain, V. Mandhadi, University of Missouri

Impact of Variable Look-back Period Length on Cardiovascular Outcomes When Using Electronic Health Record Data for Epidemiologic Research
N. Bhavsar, J. Pura, A. Navar, A. Hellkamp, Duke University; P. Muntner, University of Alabama at Birmingham; M. Maciejewski, S. Raman, B. Hammill, L. Curtis, E. Boulware, Duke University

Trajectory Inspection: A Method for Iterative Clinician-driven Design of Reinforcement Learning Studies
C. Ji, M. Oberst, MIT; S. Kanjilal, Harvard Medical School, Harvard Pilgrim Healthcare Institute; D. Sontag, MIT

Deep EHR Spotlight: a Framework and Mechanism to Highlight Events in Electronic Health Records for Explainable Predictions
T. Nguyen-Duc, IBM Research Europe, Monash University; N. Mulligan, IBM Research Europe; G. Mannu, Oxford University; J. Bettencourt-Silva, IBM Research Europe

Developing High Performance Secure Multi-party Computation Protocols in Healthcare: A Case Study of Patient Risk Stratification
X. Dong, D. Randolph, University of Illinois at Chicago; C. Weng, A. Kho, J. Rogers, X. Wang, Northwestern University

Comparing Suicide Risk Insights Derived from Clinical and Social Media Data
R. Thiruvalluru, Weill Cornell Medicine; M. Gaur, University of South Carolina; K. Thirunarayan, Wright State University; A. Sheth, University of South Carolina; J. Pathak, Weill Cornell Medicine

System for High Intensity EvaLuation During Radiation Therapy (SHIELD-RT): A Prospective Randomized Study of Machine Learning-directed Clinical Evaluations During Outpatient Cancer Radiation and Chemoradiation
J. Hong, University of California, San Francisco; N. Eclov, Duke University; N. Dalal, University of California, San Francisco; S. Thomas, S. Stephens, M. Malicki, S. Shield, A. Cobb, Y. Mowery, D. Niedzwiecki, J. Tenenbaum, M. Palta, Duke University

Sepsis Prediction in the General Ward Setting
S. Yu, Washington University School of Medicine in St. Louis, Washington University in St. Louis; A. Gupta, Washington University School of Medicine in St. Louis; K. Betthauser, Barnes Jewish Hospital; M. Kollef, A. Lai, P. Payne, A. Michelson, Washington University School of Medicine in St. Louis



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