Article

Cluster analysis driven by unsupervised latent feature learning of intensive care unit medications to identify novel pharmaco-phenotypes of critically ill patients

2022-06-30

Abstract excerpt

Unsupervised clustering of intensive care unit (ICU) medications may identify unique medication clusters (i.e., pharmacophenotypes) in critically ill adults. We performed an unsupervised analysis with Restricted Boltzmann Machine of 991 medications profiles of patients managed in the ICU to explore pharmacophenotypes that correlated with ICU complications (e.g., mechanical ventilation) and patient-centered outcome...

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Literature Corpus work: b28c11ec-8b16-5165-bcc4-231909083945
DOI: 10.21203/rs.3.rs-1745568/v1

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Cluster analysis driven by unsupervised latent feature learning of intensive care unit medications to identify novel pharmaco-phenotypes of critically ill patientsDOI 10.21203/rs.3.rs-1745568/v1Read

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