Article

Deep latent variable modelling reveals clinically significant subgroups among transfusion recipients

2025-10-30

Abstract excerpt

<h4> A bstract </h4> <h4>Background</h4> Transfusion recipients are a heterogeneous group of patients, yet the identification of these groups has traditionally relied on human-driven univariate analyses and domain knowledge instead of analyzing multivariate characteristics of individuals. Electronic health records (EHR) combined with unsupervised machine learning enables robust, data-driven way for phenotyping...

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Literature Corpus work: 1ee4b821-11e3-5447-959a-a59d3a7ba1af
DOI: 10.1101/2025.10.29.25338961

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