Data Mining Techniques in Prevention and Diagnosis of Non Communicable Diseases

During the time of the pandemic, the entire world is sceptical about human health. Non Communicable diseases such as Diabetes Mellitus, Heart Disease, Hypertension, Cancer are troubling societies for a long time. The research was done to Prevent and Diagnosis Non-Communicable using data mining techniques.  This research was carried out using a data sample in Semi-Rural area in Sri Lanka. 

The major challenge in the health sector in rural, underdeveloped areas that the patients are not attending the medical clinics. These numbers are further high in male categories. We identified the challenge of getting the males to the medical clinics, so we used the spouse data to predict the other better half's health conditions. 

Logistic regression analysis,  Classification and  Regression  Tree  (CART),  decision tree,  Chi-squared  Automatic  Interaction  Detector  (CHAID),  exhaustive  CHAID,  and discriminant analysis techniques were used in this research. 

Read the research paper at ResearchGate.