Prediction of individual treatment allocation between electroconvulsive therapy or ketamine using the Personalized Advantage Index

Prediction of individual treatment allocation between electroconvulsive therapy or ketamine using the Personalized Advantage Index

Abstract Electroconvulsive therapy (ECT) and ketamine are effective treatments for depression; however, evidence-based guidelines are needed to inform individual treatment selection. We adapted the Personalized Advantage Index (PAI) using machine learning to predict optimal treatment assignment to E...

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Bibliographic Details
Main Authors: Benjamin S. C. Wade, Ryan Pindale, James Luccarelli, Shuang Li, Robert C. Meisner, Stephen J. Seiner, Joan A. Camprodon, Michael E. Henry
Format: Article
Language:English
Published: Nature Portfolio 2025-02-01
Series:npj Digital Medicine
Online Access:https://doi.org/10.1038/s41746-025-01523-3

Internet

https://doi.org/10.1038/s41746-025-01523-3

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