AI Driven Medical Prediction and Suggestive System to Establish Good Health and Well Being in Society – A Real Time Case Study

To Achieve one of the goal of United Nation for 2030 to Establish good health & well being for sustainable development, various steps are being taken globally. To achieve the objectives of good health, monitoring and prediction based suggestive system is required specific to specific class. The emergence of Artificial Intelligent techniques and algorithms may play a vital role in fast, reliable and accurate data analysis and prediction. Further the echo system may be developed and policies may be reframed to achieve the UN goal 2030. In this paper a case study is presented, which is carried out in the host city Indore situated in central India. The city has uniform climate and living style across it’s boundary & inner part. Hence the data taken can be categorized under one class. The sampling has been done in real time for the Medical Parameters like B Glucose, Cholesterol, Keratinize and Protein. Different subclasses were created for recognizing pattern of specific class. The classification is done on urban and Rural population, on Gender basis, on caste and age wise. Almost ten subclasses are described which are having unique and distinguishable characteristics in their food style. Present Data is compared with data set of interval of 10 years. With the use of AI algorithm the estimation on medical health has been predicted while considering different parameters. These algorithms generate functions that map inputs to desire outputs and consist of a dependent variable which is predicted from a given set of independent variables. The predicted values are compared with the original value to determine the accuracy of the model. The machine learning algorithm include Naïve-Bayes, k-NN, Decision Tree, Support Vector Machines, Random Forest, bagging etc. The results are derived for mentioned subclasses and specific groups. Based on the analysis and prediction a specific suggestive health care system can be developed for specific class or subclass. The relevant society may be trained or empowered to establish good health. The well being will be improved and it will definitely contribute in sustainable development.