Machine Learning and Soft Computing in the Analysis of Psychiatric  Patient Data: A Comparative Study

Anurag Upadhyay,Dr. Rashi Agarwal

Machine Learning and Soft Computing in the Analysis of Psychiatric Patient Data: A Comparative Study

Authors

Anurag Upadhyay,Dr. Rashi Agarwal

Keywords:

Machine Learning, Soft Computing, Psychiatric Data Analysis, Fuzzy Logic, Neural Networks, Diagnosis, Mental Health, Comparative Study, Clinical Decision Support, Interpretability.

Abstract

Psychiatric disorders present significant challenges to healthcare due to their complex,multifactorial nature and the subjectivity involved in assessment and diagnosis. With theproliferation of electronic health records and advances in computational techniques, there is an
increasing opportunity to leverage machine learning

References

Dwyer, D.B., Falkai, P., & Koutsouleris, N. (2018). Machine learning approaches for clinical psychology and psychiatry. Annual Review of Clinical Psychology, 14, 91-118.

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Published

2023-01-20

How to Cite

Anurag Upadhyay,Dr. Rashi Agarwal. (2023). Machine Learning and Soft Computing in the Analysis of Psychiatric Patient Data: A Comparative Study . Journal of Computational Analysis and Applications (JoCAAA), 31(1), 1488–1496. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/5292