학술논문
Developing Clinical Risk Prediction Models for Worsening Heart Failure Events and Death by Left Ventricular Ejection Fraction
Document Type
article
Author
Source
Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, Vol 12, Iss 19 (2023)
Subject
Language
English
ISSN
2047-9980
Abstract
Background There is a need to develop electronic health record–based predictive models for worsening heart failure (WHF) events across clinical settings and across the spectrum of left ventricular ejection fraction (LVEF). Methods and Results We studied adults with heart failure (HF) from 2011 to 2019 within an integrated health care delivery system. WHF encounters were ascertained using natural language processing and structured data. We conducted boosted decision tree ensemble models to predict 1‐year hospitalizations, emergency department visits/observation stays, and outpatient encounters for WHF and all‐cause death within each LVEF category: HF with reduced ejection fraction (EF) (LVEF