000			01257nam a22001697a 4500
082			_a006.3 _bS531M
100			_aSharma, Nikhil _945342
245			_aMachine Learning Modeling for Predicting Child Mortality _cby Nikhil Sharma
260			_aIIT Jodhpur _bDepartment of Computer Science and Technology _c2023
300			_avii, 15p. _bHB
500			_aChild mortality is a very acute problem faced by mankind from time immemorial, and demographers have used traditional methods to derive inferences. However, with advances in computing and thereby in the machine learning space, new avenues have been opened to determine the various causal factors at a faster pace. This project is another step in that direction by employing machine learning models to traditional sampled data based out of India and including the socio-economic and medical variables together. The objective is that the generated insights can provide input to policymakers to determine the best ways to formulate socio-welfare schemes and thereby reduce the child mortality count in India.
650			_aDepartment of Computer Science and Technology _945343
650			_aChild Mortality _945344
650			_aMTech Theses _945345
700			_aBrahma, Dweepobotee _945346
942			_cTH
999			_c16570 _d16570