Smart Health Consulting System Using Machine Learning

Abstract

For the treatment and prevention of sickness, accurate and timely investigation of any health-related problem is critical. In the case of a critical illness, the standard method of diagnosing may not be sufficient. People nowadays suffer from a variety of ailments as a result of the environment and their lifestyle choices. As a result, predicting sickness at an early stage becomes a critical responsibility. However, doctors find it challenging to make precise predictions based on symptoms. The most difficult challenge is correctly predicting sickness. The development of a diagnosable disorder method machine learning - based (ML) algorithms for illness prediction can aid in a much more official diagnosis than the current technique. Using numerous machine learning techniques, we created a disease prediction system.