Machine learning methods to discriminate posttraumatic stress disorder: A protocol of systematic review and meta-analysis.

ABSTRACT:

Introduction

Recent years have witnessed a persistent threat to public mental health, especially during and after the COVID-19 pandemic. Posttraumatic stress disorder (PTSD) has emerged as a pivotal concern amidst this backdrop. Concurrently, machine learning (ML) techniques have progressively applied in the realm of mental health. Therefore, our present undertaking seeks to provide a comprehensive assessment of studies employing ML methods that use diverse data modalities on the classification of people with PTSD.

Methods and analysis

In pursuit of pertinent studies, we will search both English and Chinese databases from January 2000 to May 2022. Two researchers will independently conduct screening, extract data and assess study quality. We intend to employ the assessment f

SUBMITTER: Wang J 

PROVIDER: S-EPMC10943756 | biostudies-literature | 2024 Jan-Dec

REPOSITORIES: biostudies-literature