Home About Login Current Archives Announcements Editorial Board
Submit Now For Authors Call for Submissions Statistics Contact
Home > Archives > Volume 20, No 8 (2022) > Article

DOI: 10.14704/nq.2022.20.8.NQ44748

Mental Health Patient’s Continuity of Care using Machine Learning Models

Kumar Gaurav Kapoor, Avadhesh Kumar


The rise in mental health issues and the demand for high-quality medical care have prompted research into the use of machine learning in mental health issues. This article offers an overview of machine learning and its current applications in healthcare, a review of recent original research on ML focused on mental health, and a discussion of how ML can support clinical practice while taking into account its present limitations, areas that still require further research, and ethical considerations. Linking of ML and mental health that used electronic health records (EHRs), mood rating scales, brain imaging data, cuttingedge monitoring systems (such as smartphones and video), and social media platforms to predict, classify, or subgroup mental health illnesses like depression, schizophrenia, or other psychiatric illnesses.


Mental Health

Full Text