The Cutting Edge of Machine Learning in Predicting High – Risk Diseases in Healthcare Sector

The most novel technique of Machine Learning has transformed the conventional statistical methods into a coveted position. The adaption of digital technologies in the health care sector resulted in a substantial increase in electronic data. Due to the massive output of data, medical practitioners face challenges analysing this data accurately and diagnosing the diseases at an early stage. The application of Machine Learning in this context has proved highly useful and rewarding. Mainly the Supervised Machine Learning algorithms like K-Nearest Neighbor (KNN), Support-Vector Machine (SVM), Decision Trees (DT), Logistic Regression (LR), Naive Bayes (NB) and Random Forest (RF) have proved effective in improving the precision of disease prediction.