• Darshana Nair
• Sejal Arora
• Rajashree Jadhav
• Harshal Pathak
• Sameer Mamadapure

Advancement in technology has improved the way of identifying a disease. An increase in civilization has led to a decrease in physical activity among various age groups. Also, everyone is leading a hectic life which results in negligence towards healthy well-being. Such situations give rise to health problems, and if not treated on time, health may deteriorate. Sometimes, people require medical assistance immediately. Nevertheless, the medical process of analyzing the ailment is time-consuming, and it may delay the medical treatment procedure of the patient. In this paper, we propose an idea to give online personalized health prediction with the help of a machine learning model. It predicts the health of a person by taking current health status. The model understands the vital signs and symptoms and predicts the ailment. Also, the health care system helps patients to find the right hospital to carry out the treatment procedure on time. With the help of this prediction system, a patient can know the disease he is suffering from before meeting a specialist, thus speeding up the medical procedure.

Machine Learning, Gradient Boosting, Health prediction, medical analysis, Decision tree, Explore nearby hospitals, Emergency contacts.

"PERSONALIZED HEALTH PREDICTION USING MACHINE LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 6, page no.c804-c807, June-2021, Available :http://www.jetir.org/papers/JETIR2106382.pdf

"PERSONALIZED HEALTH PREDICTION USING MACHINE LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 6, page no. ppc804-c807, June-2021, Available at : http://www.jetir.org/papers/JETIR2106382.pdf