Research Paper Multiple Disease Prediction Using Machine Learning

Abstract

Machine learning techniques have revolutionized the field of healthcare by enabling accurate and timely disease
prediction. The ability to predict multiple diseases simultaneously can significantly improve early diagnosis and
treatment, leading to better patient outcomes and reduced healthcare costs. This research paper explores the application
of machine learning algorithms in predicting multiple diseases, focusing on their benefits, challenges, and future
directions. We present an overview of various machine learning models and data sources commonly used for disease
prediction. Additionally, we discuss the importance of feature selection, model evaluation, and the integration of multiple
data modalities for enhanced disease prediction. The research findings highlight the potential of machine learning in
multi-disease prediction and its potential impact on public health. Once more, I am applying machine learning model to
identify that a person is affected with few diseases or not. This training model takes a sample data and train itself for
predicting disease.