Machine Learning

Health Information Technology in Heart Failure Care - Final Report

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Enhancing an EMR-Based Real-Time Sepsis Alert System Performance Through Machine Learning - Final Report

Principal Investigator: 

Natural Language Processing to Identify and Rank Clinically Relevant Information for EHRs in the Emergency Department - Final Report

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HopScore: an Electronic Outcomes-Based Emergency Triage System - Final Report

Principal Investigator: 

Improving Missing Data Analysis in Distributed Research Networks

Description: 

This project aims to refine and develop methods to address missing electronic health record data to improve data quality and research validity.

Principal Investigator: 
Project Dates: 
September 30, 2018 to September 29, 2021

TREAT ECARDS: Translating Evidence into Action: Electronic Clinical Decision Support in ARDS

Description: 

This project will develop and evaluate an electronic clinical decision support tool for care of patients with Acute Respiratory Distress Syndrome.

Principal Investigator: 
Project Dates: 
September 1, 2018 to June 30, 2021

Identifying health information technology related safety event reports from patient safety event report databases.

Principal Investigator: 

The impact of risk standardization on variation in CT Use and emergency physician profiling.

Principal Investigator: 

Using machine learning techniques to develop forecasting algorithms for postoperative complications: protocol for a retrospective study.

Principal Investigator: 

Achieving Individualized Precision Prevention (IPP) through Scalable Infrastructure Employing the USPSTF Recommendations in Computable Form

Description: 

This project will use Learning Health System methods to systematically apply U.S. Preventive Services Task Force’s evidence-based recommendations with the goal of advancing individualized precision prevention.

Principal Investigator: 
Project Dates: 
July 1, 2018 to June 30, 2020