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

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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Detalles Bibliográficos
Autores principales: Kleinerman, Akiva, Rosenfeld, Ariel, Benrimoh, David, Fratila, Robert, Armstrong, Caitrin, Mehltretter, Joseph, Shneider, Eliyahu, Yaniv-Rosenfeld, Amit, Karp, Jordan, Reynolds, Charles F., Turecki, Gustavo, Kapelner, Adam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8589171/
https://www.ncbi.nlm.nih.gov/pubmed/34767577
http://dx.doi.org/10.1371/journal.pone.0258400

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8589171/
https://www.ncbi.nlm.nih.gov/pubmed/34767577
http://dx.doi.org/10.1371/journal.pone.0258400

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