Classification of Exploring the Mortality Rates of Diseases by Using Machine Learning Techniques

Abstract

Early years, the analysis of healthcare data hasbecome one of the most committedresearchfields.Theseveral typesof datainhealthcarewhich are open several doors for the new researchers.In this study, wehave usedthe electronic medical record database (EMRD)and compared the mortality rates of NICU Department of KMC, Civil Hospital, DistrictKhairpur.We have identified the incident based on the diagnosis of the last year. Thereareseveral types ofdiseases such asNeonatal Sepsis, Pre-mature, Birth Asphyxia, Meconium Aspiration Syndrome, Neonatal Jaundice, Pneumonia,and Lowbirth weight, Congenital Heart Disease (HD), Surgical Problemsand Respiratory Distress Syndrome (RDS).Weconductedsensitivity analyses of EMRD among patientswho were admitted in NICU ward,the record has been analyzedusingML techniquesand applied K-NN algorithm for classification and data analysis of disease.Our data analysis result will helpthe Government and the private sectorto giveconsiderable focus on giving medical facilities.