Machine Learning Techniques to Predict Mental Health Diagnoses: A Systematic Literature Review.

ABSTRACT:

Introduction

This study aims to investigate the potential of machine learning in predicting mental health conditions among college students by analyzing existing literature on mental health diagnoses using various machine learning algorithms.

Methods

The research employed a systematic literature review methodology to investigate the application of deep learning techniques in predicting mental health diagnoses among students from 2011 to 2024. The search strategy involved key terms, such as "deep learning," "mental health," and related terms, conducted on reputable repositories like IEEE, Xplore, ScienceDirect, SpringerLink, PLOS, and Elsevier. Papers published between January, 2011, and May, 2024, specifically focusing on deep learning models for mental health diagnoses, wer

SUBMITTER: Madububambachu U 

PROVIDER: S-EPMC11443461 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature