Gene Set-Level analyses enable Smaller Studies to compare groups in rare and infrequent Diseases or in ultra-fine stratification of common disorders

GRACE: A Smoothing Algorithm for Removing Heterogeneous Noise and Implausible Fluctuations of Observed Disease Curves

Multimorbidity Patterns Across Race/Ethnicity Stratified by Age and Obesity: A Cross-sectional Study of a National U.S. Sample

Lessons Learned from Large Scale Curation of EHR Data

Using machine learning to predict the negative patient experience using the HCAHPS survey

Secondary Academic Appointments: A Hidden Dimension of Disparity?

Healthcare assisting chatbot for personalized air quality notification and health recommendation using IoT: design and implementation

Comparing EHR data collected from FHIR API with an OMOP Database

Pragmatic Design and Application of a Named Entity Recognition Pipeline to Assist Contact Tracers during the COVID-19 Pandemic

Iterative improvement and validation of an algorithmic software application for remote medication management of hypertension

Magnified Convolutional Enrichment Representation Model

Leveraging novel ePRO and existing EHR datamarts to assess clinical outcomes in ambulatory oncology

Variability in EHR Data About Race and Ethnicity as Observed in the National COVID Cohort Collaborative Data Enclave

Identifying Traumatic Brain Injury in Females from Electronic Health Records: Considerations for Defining a Cohort

Machine Learning for Developing a Prediction Model of Hospital Admission of Emergency Department Patients: Hype or Hope?

Assessing Clinical Site Readiness for EHR-to-EDC Data Collection

Identifying Patients with Interstitial Lung Disease in Electronic Health Records: Development and Validation of Machine Learning Algorithms

Measuring and Controlling Medical Record Abstraction Error Rates in an Observational Study

Developing A Precision Health, Patient Centered, Self-Management Framework

The Challenge of Phenotyping Acute Adverse Events

Evaluation of Google Search Trends for COVID-19 Vaccination Administration Efforts within a Public Health Department

Development of a Smartphone-Based Decision Support Tool for Predicting Patients at Risk of Chemotherapy-Induced Nausea and Vomiting using Decision Tree Induction

Large Scale Whole Genome Sequencing Analysis of Autism Spectrum Disorder

mHealth-4-Mhealth (mobile health for migrant health) Surveillance Program

An Open-Source Toolkit for Enriching Patient Records with Social and Environmental Determinants of Health

Improving Automatic Detection of COVID-19 Disease Severity in an International COVID-19 Research Network: Applying Chart Review and Hospital System Dynamics

Evaluating Multifaceted Ontology Systems: A Preliminary Analysis of the GSSO in LGBTQIA+ and Medical Spaces

Identifying Interpretable Clinical Subtypes within Heterogeneous Dementia Clinic Population

Extending Tree-Based Automated Machine Learning to Biomedical Image and Text Data Using Custom Feature Extractors

Advancing Artificial Intelligence and Machine Learning Through Improved Public Competitions

Landscape of Algorithmically Identified Patient Populations from the Electronic Health Record: A Systematic Review

Understanding COVID-19 Information Needs from Conversational Logs

Addressing and Assessing COVID-19 Information Needs via a Weather App

Neighborhood deprivation increases the risk of post-induction cesarean delivery

Discovering drug combinations impacting cancer incidence

Fusion of Chest Radiographs and Electronic Medical Records using Deep Learning to Predict Intubation among Hospitalized Patients with COVID-19

Harmonization of Disease Pathways from Scientific Literature Using Graph Databases

Consistency Check of the FHIR W5 Classification System in FHIR Modeling: Towards Improved Semantic Representation of FHIR RDF

Defining Venous Thromboembolism Using the Electronic Health Record: A Data Driven Approach

Using PEDSnet, a National Clinical Research Network, To Track the Evolution of COVIID-19 in Children Within the United States

Computerized clinical decision support for fall prevention: Defining end-user requirements for primary care staff and patients

Enabling High-Validity Real-World Evidence in NASH

A Pilot Study on Extrapolating Level of Confidence and Correctness Between Nurses And Physicians In Interpreting Ambiguity Around Phrases With Adverse Drug Event Mentions

Canary in the Care Coordination Coalmine: Specialist Utilization as a Signal of Care Coordination Among Members Before and After Direct Primary Care Exposure

A Machine Learning Approach to Predict Decreased Opioid Prescribing Among a Cohort of 85K Providers

Predicting Persistent Respiratory Sequelae in COVID-19 Patients

An electronic health record-based approach to identify and characterize patients with immune checkpoint inhibitor-associated arthritis

Domain Adaptation of a Deep Learning Symptom Extractor for Different Patient Populations and Clinical Settings

Growth and Disparities in Mental Health, Telemedicine, and Telemedicine Mental Health Usage between 2013 and 2018 among Disabled Medicaid Clients in Urban, Suburban, and Rural Texas Counties

Mondo Disease Ontology: Building a Community-Based Disease Resource

Deep Clinical Phenotyping of Race and Ethnicity-Stratified Alzheimer’s Disease Patients Leveraging Electronic Medical Records Data

Reversal of infected host gene expression identifies repurposed drug candidate for SARS-CoV-2 and its new variants

Observability and Its Impact on Differential Bias for Clinical Prediction Models

Machine Learning Powered Identification of Cancer Diagnoses and Diagnosis Dates from EHR: an integrated pipeline that outperforms ICD-coded identification

Differential gene expression analysis stratified by APOE genotypes across brain regions in Alzheimer's disease

Generalizing an Antibiotic Recommendation Algorithm for Treatment of Urinary Tract Infections to a New York City Hospital System

Systematic comparison of phenomic profiles between All of Us Research Program and UK Biobank participants

Creating classifiers to distinguish between speaker types in recorded nurse-patient verbal communication in home healthcare: a feasibility study

Developing a risk identification algorithms for identifying patients at risk of medication non-adherence in patients with depression