Machine Learning

Mining patient-specific and contextual data with machine learning technologies to predict cancellation of children's surgery.

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Semi-Automated Identification of Biomedical Literature

Description: 

This research will develop and evaluate a semi-automatic approach to conducting literature searches for systematic reviews.

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Project Dates: 
September 30, 2019 to September 29, 2020

Exploration and initial development of text classification models to identify health information technology usability-related patient safety event reports.

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Optimal Methods for Notifying Clinicians About Epilepsy Surgery Patients - Final Report

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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

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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

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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.

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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.

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