Document Type
Journal Article
Publication Date
1-1-2016
Journal
AMIA ... Annual Symposium Proceedings [electronic resource] / AMIA Symposium. AMIA Symposium
Volume
2016
DOI
no doi
Keywords
Aged; Aged, 80 and over; Comorbidity; Electronic Health Records; Feasibility Studies; Female; Frail Elderly; Heart Failure; Hospitalization; Humans; Information Storage and Retrieval; Logistic Models; Male; Prognosis; United States; United States Department of Veterans Affairs
Abstract
Frailty is an important health outcomes indicator and valuable for guiding healthcare decisions in older adults, but is rarely collected in a quantitative, systematic fashion in routine healthcare. Using a cohort of 12,000 Veterans with heart failure, we investigated the feasibility of topic modeling to identify frailty topics in clinical notes. Topics were generated through unsupervised learning and then manually reviewed by an expert. A total of 53 frailty topics were identified from 100,000 notes. We further examined associations of frailty with age-, sex-, and Charlson Comorbidity Index-adjusted 1-year hospitalizations and mortality (composite outcome) using logistic regression. Frailty (≤ 4 topics versus
Creative Commons License
This work is free of known copyright restrictions.
APA Citation
Shao, Y., Mohanty, A., Ahmed, A., Weir, C., Bray, B., Shah, R., Redd, D., & Zeng-Treitler, Q. (2016). Identification and Use of Frailty Indicators from Text to Examine Associations with Clinical Outcomes Among Patients with Heart Failure.. AMIA ... Annual Symposium Proceedings [electronic resource] / AMIA Symposium. AMIA Symposium, 2016 (). http://dx.doi.org/no doi
Peer Reviewed
1
Open Access
1
Comments
Reproduced with permission of American Medical Informatics Association
Identification and Use of Frailty Indicators from Text to Examine Associations with Clinical Outcomes Among Patients with Heart Failure