Machine Learning and Natural Language Processing in Mental Health: Systematic Review.

ABSTRACT:

Background

Machine learning systems are part of the field of artificial intelligence that automatically learn models from data to make better decisions. Natural language processing (NLP), by using corpora and learning approaches, provides good performance in statistical tasks, such as text classification or sentiment mining.

Objective

The primary aim of this systematic review was to summarize and characterize, in methodological and technical terms, studies that used machine learning and NLP techniques for mental health. The secondary aim was to consider the potential use of these methods in mental health clinical practice.

Methods

This systematic review follows the PRISMA (Preferred Reporting Items for Systematic Review and Meta-analysis) guidelines and is registered

SUBMITTER: Le Glaz A 

PROVIDER: S-EPMC8132982 | biostudies-literature | 2021 May

REPOSITORIES: biostudies-literature