Projecting Height and Weight with Machine Learning Using Anthropometric Measurements

Abstract

Body height, weight is a number of the elemental human attributes that propose one's health and wellness. considering the differences within the species be it gender or race or any ethnicity ,it are often studied and compared to trace nutritional diseases ,drug dosages ,climate adaptability and energy expenditure. Patients with special needs who don't adapt to traditional measurement procedures can undergo use approximate attribute estimation through anthropometric ways. The machine is trained to find out height and weight related attributes, features and relations from anthropometric data to a projectile function using linear and multiple regressions. Altogether cases the approximations are error-corrected to match difference in genders and ethnicities to be fitting to a good sort of applications.