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Explainable AI enables clinical trial patient selection to retrospectively improve treatment effects in schizophrenia

2021-01-12

Abstract excerpt

<h4>Background</h4> Heterogeneity among patients’ responses to treatment is prevalent in psychiatric disorders. Personalized medicine approaches – which involve parsing patients into subgroups better indicated for a particular treatment – could therefore improve patient outcomes and serve as a powerful tool in patient selection within clinical trials. Machine learning approaches can identify patient subgroups but...

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Literature Corpus work
14470f89-aa7f-54d7-b5f1-94e7629fd5e1
DOI
10.1101/2021.01.11.20248788
Open publication

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Explainable AI enables clinical trial patient selection to retrospectively improve treatment effects in schizophreniaDOI 10.1101/2021.01.11.20248788
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