Article

Deep representation learning for clustering longitudinal survival data from electronic health records

2024-01-12

Abstract excerpt

Precision medicine requires accurate identification of clinically relevant patient subgroups. Electronic health records provide major opportunities for leveraging machine learning approaches to uncover novel patient subgroups. However, many existing approaches fail to adequately capture complex interactions between diagnosis trajectories and disease-relevant risk events, leading to subgroups that can still display...

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Literature Corpus work: b2f7f1a4-08ce-57bb-bcf2-c2055c0c82de
DOI: 10.1101/2024.01.11.24301148

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