Article

Supervised Analysis for Phenotype Identification: The Case of Heart Failure Ejection Fraction Class

2021-05-27

Abstract excerpt

Artificial Intelligence are creating a paradigm shift in health care, being phenotyping patients through clustering techniques one of the areas of interest. <h4>Objective:</h4> To develop a predictive model to classify heart failure (HF) patients according to their left ventricular ejection fraction (LVEF), by using available data in Electronic Health Records (EHR). Subjects and methods: 2854 subjects more than 25...

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Literature Corpus work: f5fbe483-ba23-5331-87ec-5fb494c1dba2
DOI: 10.20944/preprints202105.0677.v1

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