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Machine learning enabled subgroup analysis with real-world data to inform better clinical trial design

2021-05-12

Abstract excerpt

Restrictive eligibility criteria for clinical trials may limit the generalizability of treatment effectiveness and safety to real-world patients. In this paper, we propose a machine learning approach to derive patient subgroups from real-world data (RWD), such that the patients within the same subgroup share similar clinical characteristics and safety outcomes. The effectiveness of our approach was validated on tw...

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Identifiers and source

Literature Corpus work
da9dfe90-7935-56f2-8af7-c4a5c995619c
DOI
10.1101/2021.05.11.21257024
Open publication

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Machine learning enabled subgroup analysis with real-world data to inform better clinical trial designDOI 10.1101/2021.05.11.21257024
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