Leveraging Machine Learning Methods for Multiple Disease Prediction using Python ML Libraries and Flask API

Abstract

Disease prediction has become one of the most sophisticated problems in the Machine Learning field in Computer Science. Almost all of the existing machines learning models are fixated on single disease prediction. For Example:-Machine learning model for predicting Malaria, ML model for predicting Brain Cancer, ML Model for predicting fever et cetera. This research paper proposes a system using which multiple diseases can be predicted. At present, the proposed system can predict Malaria, Alzheimer's Disease, Tuberculosis, Pancreatic Cancer The proposed system used CNN, Random Forest and Logistic Regression for analysis and prediction of multiple diseases. The system is implemented using Flask API which is a framework for creating web applications in Python and using ML Libraries in Python such as TensorFlow, Scikit Learn, Pandas et cetera. The main purpose of this Research Paper is to provide a system which Medical Professionals can use to predict diseases present in the patient in a very quick manner.