Fast, smart, and adaptive: using machine learning to optimize mental health assessment and monitor change over time

Abstract In mental health, accurate symptom assessment and precise measurement of patient conditions are crucial for clinical decision-making and effective treatment planning. Traditional assessment methods can be burdensome, especially for vulnerable populations, leading to decreased motivation and...

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Bibliographic Details
Main Authors: Daiana Colledani, Claudio Barbaranelli, Pasquale Anselmi
Format: Article
Language:English
Published: Nature Portfolio 2025-02-01
Series:Scientific Reports
Subjects:
Online Access:https://doi.org/10.1038/s41598-025-91086-w
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