Psychological Disorder Analysis Using Machine Learning

Authors

  • Aditi Chaudhary, Akriti Agarwal, Aarif Ansari, Diksha Arya

DOI:

https://doi.org/10.47750/pnr.2022.13.S10.400

Abstract

The goal of our study is to suggest a system based on “Psychological Disorder Analysis” which determines the user's mental health. The survey revealed that the application has to include an authentication system. The user interface should be simple to use, and it should provide options that Goals and memories can be saved, and it can be customized. The rise in mental health problems and the need for effective medical health care have prompted researchers to look into machine learning applications in mental health. Here different ML models help us to analyze but the Random Forest model provide the better outcome to analyze the Depression with 92.6%, anxiety 88.7% and stress 84%.

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Published

2022-12-31 — Updated on 2022-12-31

How to Cite

Aditi Chaudhary, Akriti Agarwal, Aarif Ansari, Diksha Arya. (2022). Psychological Disorder Analysis Using Machine Learning. Journal of Pharmaceutical Negative Results, 3326–3333. https://doi.org/10.47750/pnr.2022.13.S10.400

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Section

Articles