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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| Main Authors: | , , , , , , , , , , , |
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| Format: | article |
| Language: | EN |
| Published: |
Public Library of Science (PLoS)
2021
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| Subjects: | |
| Online Access: | https://doaj.org/article/340d8807035c463b98f66ee3e0a54178 |
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