Development of an individualized risk calculator of treatment resistance in patients with first-episode psychosis (TRipCal) using automated machine learning: a 12-year follow-up study with clozapine prescription as a proxy indicator

Development of an individualized risk calculator of treatment resistance in patients with first-episode psychosis (TRipCal) using automated machine learning: a 12-year follow-up study with clozapine prescription as a proxy indicator

Abstract About 15–40% of patients with schizophrenia are treatment resistance (TR) and require clozapine. Identifying individuals who have higher risk of development of TR early in the course of illness is important to provide personalized intervention. A total of 1400 patients with FEP enrolled in...

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Bibliographic Details
Main Authors: Ting Yat Wong, Hao Luo, Jennifer Tang, Tyler M. Moore, Ruben C. Gur, Yi Nam Suen, Christy Lai Ming Hui, Edwin Ho Ming Lee, Wing Chung Chang, Wai Ching Yan, Eileena Chui, Lap Tak Poon, Alison Lo, Koi-Man Cheung, Chui Kwan Kan, Eric Yu Hai Chen, Sherry Kit Wa Chan
Format: Article
Language:English
Published: Nature Publishing Group 2024-01-01
Series:Translational Psychiatry
Online Access:https://doi.org/10.1038/s41398-024-02754-w

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https://doi.org/10.1038/s41398-024-02754-w

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