Multiple Disease Prognostication Based On Symptoms Using Machine Learning Techniques

^1,2,3 Ramrao Adik Institute of Technology, Nerul, Navi Mumbai, India
⁴ D.Y. Patil Deemed to be University, Ramrao Adik Institute of Technology, Nerul, Navi Mumbai, India

^* Corresponding author: 2906kajal@gmail.com

Abstract

Disease Prediction system that uses Machine Learning forecasts the ailments on the basis of the data pertaining to the symptoms entered by the user and provides trustworthy findings based on that data. If the patient isn’t in any danger and the user merely wants to know what kind of ailment he or she has had. It is a system that gives the user suggestions and methods on how to keep their health system in good shape, as well as a way to find out if they have a sickness utilizing this forecast. Due to a diversity of diseases and a lower doctor-patient ratio, the use of particular disease prediction technologies as well as concerns about health has risen. We are focusing on offering customers with an instant and accurate disease prognosis based on the symptoms they enter, as well as the severity of the condition projected. It will provide the best algorithm and doctor consultation. Different machine learning algorithms are employed to forecast illnesses, ensuring speedy and reliable predictions.