Machine learning algorithms for predicting PTSD: a systematic review and meta-analysis

Machine learning algorithms for predicting PTSD: a systematic review and meta-analysis

Abstract This study aimed to compare and evaluate the prediction accuracy and risk of bias (ROB) of post-traumatic stress disorder (PTSD) predictive models. We conducted a systematic review and random-effect meta-analysis summarizing predictive model development and validation studies using machine...

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Bibliographic Details
Main Authors: Masoumeh Vali, Hossein Motahari Nezhad, Levente Kovacs, Amir H Gandomi
Format: Article
Language:English
Published: BMC 2025-01-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Trauma
Mental health
Model evaluation
Evidence synthesis
Deep learning
Forecasting
Online Access:https://doi.org/10.1186/s12911-024-02754-2
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https://doi.org/10.1186/s12911-024-02754-2

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