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Machine Learning
Machine Learning
Health Information Technology in Heart Failure Care - Final Report
Citation:
Blecker S. Health Information Technology in Heart Failure Care - Final Report. (Prepared by the New York University School of Medicine under Grant No. K08 HS023683). Rockville, MD: Agency for Healthcare Research and Quality, 2018.
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Enhancing an EMR-Based Real-Time Sepsis Alert System Performance Through Machine Learning - Final Report
Citation:
Sherwin R. Enhancing an EMR-Based Real-Time Sepsis Alert System Performance Through Machine Learning - Final Report. (Prepared by Wayne State University under Grant No. R21 HS024750). Rockville, MD: Agency for Healthcare Research and Quality, 2019.
Principal Investigator:
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Natural Language Processing to Identify and Rank Clinically Relevant Information for EHRs in the Emergency Department - Final Report
Citation:
Goss F. Natural Language Processing to Identify and Rank Clinically Relevant Information for EHRs in the Emergency Department - Final Report. (Prepared by the University of Colorado under Grant No. R21 HS024541). Rockville, MD: Agency for Healthcare Research and Quality, 2018.
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HopScore: an Electronic Outcomes-Based Emergency Triage System - Final Report
Citation:
Levin, S. HopScore: an Electronic Outcomes-Based Emergency Triage System - Final Report. (Prepared by Johns Hopkins University under Grant No. R21 HS023641). Rockville, MD: Agency for Healthcare Research and Quality, 2018.
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.
Citation:
Fong A, Adams KT, Gaunt MJ, et al. Identifying health information technology related safety event reports from patient safety event report databases. J Biomed Inform 2018 Oct;86:135-142. Epub 2018 Sep 10. PMID: 30213556.
Principal Investigator:
The impact of risk standardization on variation in CT Use and emergency physician profiling.
Citation:
Taylor RA, Melnick E, Fleishman W, et al. The impact of risk standardization on variation in CT Use and emergency physician profiling. AJR Am J Roentgenol 2018 Aug;211(2):392-399. Epub 2018 Jul 5. PMID: 29975119.
Principal Investigator:
Using machine learning techniques to develop forecasting algorithms for postoperative complications: protocol for a retrospective study.
Citation:
Fritz BA, Chen Y, Murray-Torres TM, et al. Using machine learning techniques to develop forecasting algorithms for postoperative complications: protocol for a retrospective study. BMJ Open 2018 Apr 10;8(4):e020124. PMID: 29643160.
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
