Predicting quetiapine dose in patients with depression using machine learning techniques based on real-world evidence

Predicting quetiapine dose in patients with depression using machine learning techniques based on real-world evidence

Abstract Background Being one of the most widespread, pervasive, and troublesome illnesses in the world, depression causes dysfunction in various spheres of individual and social life. Regrettably, despite obtaining evidence-based antidepressant medication, up to 70% of people are going to continue...

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Bibliographic Details
Main Authors: Yupei Hao, Jinyuan Zhang, Jing Yu, Ze Yu, Lin Yang, Xin Hao, Fei Gao, Chunhua Zhou
Format: Article
Language:English
Published: BMC 2024-01-01
Series:Annals of General Psychiatry
Subjects:
Quetiapine
Machine learning
Dose
Prediction model
Depression
Online Access:https://doi.org/10.1186/s12991-023-00483-w

Internet

https://doi.org/10.1186/s12991-023-00483-w

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