Individualized post-crisis monitoring of psychiatric patients via Hidden Markov models
IntroductionIndividuals in the midst of a mental health crisis frequently exhibit instability and face an elevated risk of recurring crises in the subsequent weeks, which underscores the importance of timely intervention in mental healthcare. This work presents a data-driven method to infer the ment...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2024-02-01
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Series: | Frontiers in Digital Health |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fdgth.2024.1322555/full |