A retrospective prognostic evaluation using unsupervised learning in the treatment of COVID-19 patients with hypertension treated with ACEI/ARB drugs.

Journal: PeerJ

PMID: 38756444

Abstract

INTRODUCTION: This study aimed to evaluate the prognosis of patients with COVID-19 and hypertension who were treated with angiotensin-converting enzyme inhibitor (ACEI)/angiotensin receptor B (ARB) drugs and to identify key features affecting patient prognosis using an unsupervised learning method.

Authors

Liye Ge

Jiading District Central Hospital Affiliated Shanghai University of Medicine and Health Sciences, Shanghai, China.
Yongjun Meng

Jiading District Central Hospital Affiliated Shanghai University of Medicine and Health Sciences, Shanghai, China.
Weina Ma

Jiading District Central Hospital Affiliated Shanghai University of Medicine and Health Sciences, Shanghai, China.
Junyu Mu

Nanjing Medical University, Nanjing, China.

Keywords

Aged Algorithms Angiotensin Receptor Antagonists Angiotensin-Converting Enzyme Inhibitors Cluster Analysis COVID-19 COVID-19 Drug Treatment Female Humans Hypertension Male Middle Aged Prognosis Retrospective Studies SARS-CoV-2 Unsupervised Machine Learning

External Resources

View on PubMed Access via DOI PubMed (38756444)

A retrospective prognostic evaluation using unsupervised learning in the treatment of COVID-19 patients with hypertension treated with ACEI/ARB drugs.

Abstract

Authors

Keywords

External Resources

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