An Intelligent Approach for Prediction of Life Style Conditions in Adolescent Girls by Analyzing Health Parameters

Abstract

Monitoring health parameters has become a challenging task due to unpredictable diseases and related symptoms. Lifestyle is a crucial factor to decide to be healthy, in adolescent girls especially. This chapter presents a work in progress on prediction of lifestyle of adolescent girls based on problems like unhealthy routines of eating habits, sleep patterns, stress, etc. Therefore, an IT-enabled system is presented to assess current lifestyle of adolescent girls in an easy and faster way. A systematic survey is conducted with specially designed survey form by consulting medical practitioners and physical trainers. Twenty-one factors related to age, diet habits, exercise habits, sleeping habits, health history, etc. are included in the expert-guided form. One hundred fifty-five individual responses are collected and assessed manually by medical experts to annotate as healthy or unhealthy types. The healthy lifestyle prediction accuracy with support vector machine is 83.87% whereas it is 80.64% using logistic regression.