|International Journal of Computer Applications
|Foundation of Computer Science (FCS), NY, USA
|Volume 174 - Number 14
|Year of Publication: 2021
|Authors: Saima Sultana, Abdullah Al Momen, Mohoshi Haque, Mahmudul Hasan Khandaker, Nazmus Sakib
Saima Sultana, Abdullah Al Momen, Mohoshi Haque, Mahmudul Hasan Khandaker, Nazmus Sakib . An Approach for Developing Diabetes Prediction and Recommendation System. International Journal of Computer Applications. 174, 14 ( Jan 2021), 20-28. DOI=10.5120/ijca2021921033
Diabetes is a severe, enduring disorder with a huge impact on the existence and health of individuals and the people around them. It happens due to insufficient production of insulin in human body. After investigating the dangers of diabetes, it can be said that diagnosing diabetes with basic medical information at early stage of diabetes can help patients to control it and also predicting the probability of having diabetes can really decrease the number of diabetic patients in future. So, for the prediction of this disease, Multiple Linear Regression (MLR) has been used. To implement this model, some basic medical information of a person have been used as parameters. 83% accuracy has been achieved using this model. A set of suggestions using the Reinforcement Learning also have been generated to help the diabetic patients to control this disease.