Feasible Prediction of Multiple Diseases using Machine Learning

• Published in: E3S web of conferences Vol. 430; p. 1051
• Main Authors: Ramesh, Banoth, Srinivas, G., Ram Praneeth Reddy, P., Huraib Rasool, M.D., Rawat, Divya, Sundaray, Madhulita
• Format: Journal Article
• Language: English
• Published: EDP Sciences 01-01-2023
• ISSN: 2267-1242; 2267-1242
• DOI: 10.1051/e3sconf/202343001051

Automated Multiple Disease Prediction System using Machine Learning is an advanced healthcare application that utilizes machine learning algorithms to accurately predict the likelihood of a patient having multiple diseases based on their medical history and symptoms. The system employs a comprehensive dataset of medical records and symptoms of various diseases, which are then analysed using machine learning techniques such as decision trees, support vector machines, and random forests. The system’s predictions are highly accurate, and it can assist medical professionals in making more informed decisions and providing better treatment plans for patients. Ultimately, the viable Multiple Disease Prediction System using Machine Learning has the potential to improve healthcare outcomes and reduce healthcare costs by predicting and preventing disease early.