Abstract
In this era of fast-paced life, mental disorders have become a common issue in all stages of life. These mental disorders are usually the result of a person’s lifestyle habits. Stress, mania, depression, anxiety and hypermania are various forms of mental disorders which often lead to physical disorders. However, more preference is given to treat physical disorders than mental disorders. This paper is based on an Android application which aims to predict the mental illness based on lifestyle analysis and psychometric data of people comprising all age groups. A questionnaire was circulated to analyze their mental capabilities, behavior, lifestyle and personality. A dataset was prepared based on the responses to this questionnaire. This paper proposes a methodology on how Artificial Neural Networks (ANN) can be applied to the dataset to analyze and predict the type of mental disorder.
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Acknowledgments
This acknowledgement is a small effort to express sincere thanks to all those who have in several ways contributed from the infant stage. We would firstly like to thank our professor Prof. D. D. Sapkal. We are also grateful to our Head of Department Prof. M. V. Marathe for her help and constant encouragement. We take this opportunity to thank all staff members and lab assistants of Computer Engineering Department for their cooperation and support in all ways.
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Sapkal, D.D., Mehta, C., Nimgaonkar, M., Devasthale, R., Phansalkar, S. (2021). Prediction of Mental Disorder Using Artificial Neural Network and Psychometric Analysis. In: Sharma, N., Chakrabarti, A., Balas, V.E., Martinovic, J. (eds) Data Management, Analytics and Innovation. Advances in Intelligent Systems and Computing, vol 1175. Springer, Singapore. https://doi.org/10.1007/978-981-15-5619-7_26
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DOI: https://doi.org/10.1007/978-981-15-5619-7_26
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