Disease Prediction and Drug Recommendation Sy...

Disease Prediction and Drug Recommendation System Using Machine Learning Approaches

Author Name : Ch. Raghunad Reddy, G. Vijay, K. Dinesh, M. Vamsi Krishna, Dr. K. V.Satyanarayana

ABSTRACT : The project titled "Disease Prediction and Drug Recommendation Using Machine Learning" aims to leverage advanced technologies to enhance the efficiency of healthcare systems. In this era of data-driven decision-making, machine learning algorithms play a pivotal role in analyzing vast amounts of medical data for predictive modeling. The primary objectives of the project include disease prediction and the subsequent recommendation of suitable healthcare professionals based on the predicted outcomes. The system utilizes diverse datasets, encompassing patient health records, diagnostic tests, and demographic information, to train machine learning models. Through the identification of patterns and correlations within the data, the system predicts the likelihood of specific diseases or health conditions developing in individuals. This predictive analysis is crucial for early disease detection, enabling timely interventions and improved patient outcomes. Furthermore, the project integrates a recommendation system that suggests healthcare professionals or specialists based on the predicted disease. The recommendation process takes into account the expertise and specialization of drugs, ensuring that patients are connected with the most relevant and qualified medical practitioners for their specific health-concerns.