Analysis of Algorithms of AI Prediction on Mental Health

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Himanshu R.Dodiya; Divya R. Solanki; Mansi H. Chauhan; Mukesh M. Patel

Analysis of Algorithms of AI Prediction on Mental Health

Authors: Himanshu R.Dodiya, Divya R. Solanki, Mansi H. Chauhan, Mukesh M. Patel

Unique Paper ID: 170413
Volume: 11
Issue: 7
PageNo: 1228-1231

Keywords: Health Mental Artificial Intelligence

Abstract:
Artificial Intelligence (AI) has emerged as a transformative tool in mental health diagnostics and prediction, leveraging complex algorithms to process vast datasets and provide insights into psychiatric conditions. This paper reviews the application of various AI algorithms in predicting mental health issues, focusing on machine learning (ML), deep learning, and hybrid approaches. The paper also discusses the strengths, limitations, and ethical considerations of these algorithms in practical settings. This paper surveys state-of-the-art AI techniques for predicting mental health outcomes, detailing algorithmic designs, application scenarios, and challenges.

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ISSN: 2349-6002
Volume: 11
Issue: 7
PageNo: 1228-1231

Analysis of Algorithms of AI Prediction on Mental Health

Available:https://ijirt.org/article?manuscript=170413

Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

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