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Machine learning detects hidden treatment response patterns only in the presence of comprehensive clinical phenotyping

2024-10-09

Abstract excerpt

<h4>ABSTRACT</h4> Inferential statistics traditionally used in clinical trials can miss relationships between clinical phenotypes and treatment responses. We simulated a randomised clinical trial to explore how gradient boosting (XGBoost) machine learning (ML) compares with traditional analysis when ‘ground truth’ treatment responsiveness depends on the interaction of multiple phenotypic variables. As expected, tr...

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Literature Corpus work
746335ef-65e7-5e83-bf18-0f094843f602
DOI
10.1101/2024.10.09.24315155
Open publication

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Machine learning detects hidden treatment response patterns only in the presence of comprehensive clinical phenotypingDOI 10.1101/2024.10.09.24315155
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