Vol. 4 No. 2 (2024): Journal of Deep Learning in Genomic Data Analysis
Articles

Machine Learning Models for Predicting Treatment Response in Mental Health Disorders

Dr. Li Wei
Professor of Computer Science, Beihang University, China

Published 01-09-2024

Keywords

  • Machine learning,
  • healthcare

How to Cite

[1]
Dr. Li Wei, “Machine Learning Models for Predicting Treatment Response in Mental Health Disorders”, Journal of Deep Learning in Genomic Data Analysis, vol. 4, no. 2, pp. 44–51, Sep. 2024, Accessed: Sep. 19, 2024. [Online]. Available: https://thelifescience.org/index.php/jdlgda/article/view/25

Abstract

Machine learning (ML) models are increasingly being utilized in healthcare to predict treatment responses for patients with mental health disorders. This paper presents a comprehensive review of the current state of ML models in predicting treatment responses for mental health disorders, focusing on their ability to guide personalized treatment selection and optimization. We discuss the challenges, opportunities, and future directions in this field, highlighting the potential impact of ML models on improving outcomes for patients with mental health disorders.

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