Treatment selection using prototyping in latent-space with application to depression treatment

Treatment selection using prototyping in latent-space with application to depression treatment

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Machine-assisted treatment selection commonly follows one of two paradigms: a fully personalized paradigm which ignores any possible clustering of patients; or a sub-grouping paradigm which ignores personal differences within the identified groups. While both paradigms have shown promising results,...

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Bibliographic Details
Main Authors: Akiva Kleinerman, Ariel Rosenfeld, David Benrimoh, Robert Fratila, Caitrin Armstrong, Joseph Mehltretter, Eliyahu Shneider, Amit Yaniv-Rosenfeld, Jordan Karp, Charles F. Reynolds, Gustavo Turecki, Adam Kapelner
Format: article
Language:EN
Published: Public Library of Science (PLoS) 2021
Subjects:
Medicine
R
Science
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Online Access:https://doaj.org/article/340d8807035c463b98f66ee3e0a54178
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https://doaj.org/article/340d8807035c463b98f66ee3e0a54178

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