Disease Prediction using Machine Learning
BOHR International Journal of Computer Science, 1 (1):
68–71 (July 2022)DOI: 10.54646/BIJCS.011
Abstract
Predicting disease at an early stage becomes critical and the most difficult challenge is to predict it correctly along with the sickness. The prediction happens on the basis of the symptoms of an individual. The model presented can work like a digital doctor for the disease prediction which helps to diagnose the disease timely and can be efficient for the person to take immediate measures. The model is much more accurate in prediction of potential ailments. The work is tested with four machine learning algorithms and got the best accuracy with Random Forest.