Early Prediction and Prevention of Lifestyle Diseases

EasyChair Preprint 5702

Abstract

Lifestyle diseases is common among the population today not only in India but also in almost every country. Lifestyle diseases are caused because of the habits that we have in day to day basis. The way one lives his life is the major cause of it. It includes heart disease, hypertension etc. which all may heard of. In our life also, one also come across atleast one person who is either suffering from such diseases or the diseases became the reaason of his death. We also came across many such people who died because they are not aware of their disease and left with no appropriate time for the treatment. That is why, we decided to develop the model which will analyse the data entered by the user and will give the predictions of the diseases which he or she may have chances to suffer from. This not only give the predictions but also gives you the preventive measures that are required to stay safe from the very common lifestyle diseases as well as in case of mild symptoms it provides you with the management techniques also. This project aware the person about his health so that he will have the treatment well in time if required and will save the lives of many people. This project covers three main aspects which are prediction, prevention and management of lifestyle diseases.

Keyphrases: Artificial Intelligence, Data Mining, Health and Lifestyle, machine learning

@booklet{EasyChair:5702,
  author    = {Sakshi Gaur and Sarvesh Sharma and Ayush Tripathi},
  title     = {Early Prediction and Prevention of Lifestyle Diseases},
  howpublished = {EasyChair Preprint 5702},
  year      = {EasyChair, 2021}}