Unlocking echocardiogram measurements for heart disease research through natural language processing.

Journal: BMC cardiovascular disorders

PMID: 28606104

Abstract

BACKGROUND: In order to investigate the mechanisms of cardiovascular disease in HIV infected and uninfected patients, an analysis of echocardiogram reports is required for a large longitudinal multi-center study.

Authors

Olga V Patterson

VA Salt Lake City Health Care System.
Matthew S Freiberg

VA Tennessee Valley Health Care System, Nashville, TN, USA.
Melissa Skanderson

Connecticut VA Healthcare System, West Haven, CT, USA.
Samah J Fodeh

Center for Medical Informatics, School of Medicine, Yale University, West Haven, CT, USA.
Cynthia A Brandt

Yale School of Medicine, New Haven, CT VA Connecticut Healthcare System, West Haven, CT.
Scott L DuVall

VA Salt Lake City Health Care System.

Keywords

Automation Data Mining Databases, Factual Echocardiography Feasibility Studies Heart Failure HIV Infections Humans Longitudinal Studies Natural Language Processing Pattern Recognition, Automated Predictive Value of Tests Reproducibility of Results Retrospective Studies Software Validation Stroke Volume Terminology as Topic Ventricular Function, Left Veterans Health

External Resources

View on PubMed Access via DOI PubMed (28606104)

Unlocking echocardiogram measurements for heart disease research through natural language processing.

Abstract

Authors

Keywords

External Resources

Popular Topics

Recent Journals