Measuring Mental Health Condition using Logistic regression

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