Exploring the Intersection of Schizophrenia, Machine Learning, and Genomics: Scoping Review.

ABSTRACT:

Background

An increasing body of literature highlights the integration of machine learning with genomic data in psychiatry, particularly for complex mental health disorders such as schizophrenia. These advanced techniques offer promising potential for uncovering various facets of these disorders. A comprehensive review of the current applications of machine learning in conjunction with genomic data within this context can significantly enhance our understanding of the current state of research and its future directions.

Objective

This study aims to conduct a systematic scoping review of the use of machine learning algorithms with genomic data in the field of schizophrenia.

Methods

To conduct a systematic scoping review, a search was performed in the electronic databas

SUBMITTER: Hudon A 

PROVIDER: S-EPMC11607571 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature