Measuring Mental Health Condition using Logistic regression

AUTHOR(S)

Anubrata Deb, Bristi Samadder, Souroja Chowdhury, Mrs. Sulekha Das, Mrs. Shweta Banarjee

DOI: https://doi.org/10.46647/ijetms.2023.v07i02.040

ABSTRACT
Psychiatry begun to develop empirical approaches only in the past 30 years to conceptualizing, assessing and documenting positive mental health. In society we accept mental disorders as normal and try to hide it. The author has come across the fact that how severe Mental illness affect our life and the measures that can be taken to heal the same. Authors have designed means of prediction of depression of an individual. Real data has been collected from people ranging from 18 to 59 years of age. Neurotic sufferings cannot be fully understood without understanding real health and sound approach towards life so, the authors have taken approach of all the factors including depression, anxiety, stress, eating disorder, short temper, hallucination, loneliness, suicidal attempt, constant guilt feeling, fearful all these and more, realistic disturbing state and trait that result in various mental diseases has been considered and analysed. Authors have used logistic regression model on the study they have come across for predicting depression of an individual.

Page No: 327 - 338

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How to Cite This Article:
Anubrata Deb, Bristi Samadder, Souroja Chowdhury, Mrs. Sulekha Das, Mrs. Shweta Banarjee . Measuring Mental Health Condition using Logistic regression . ijetms;7(2):327-338. DOI: 10.46647/ijetms.2023.v07i02.040