Disease Prediction and Drug Recommendation Using ML

Authors

  • Swetha S UG Scholar, Dept. of EIE, R.M.K. Engineering College, Chennai, Tamil Nadu, India. Author
  • Sowmya S R UG Scholar, Dept. of EIE, R.M.K. Engineering College, Chennai, Tamil Nadu, India. Author
  • Pratishta S UG Scholar, Dept. of EIE, R.M.K. Engineering College, Chennai, Tamil Nadu, India. Author

DOI:

https://doi.org/10.47392/IRJAEM.2024.0465

Keywords:

Random-Forest, Machine Learning, Doctors, Patients, Healthcare

Abstract

In today's dynamic healthcare landscape, the integration of technology has become indispensable. The project sets out to create a cutting-edge healthcare solution that will transform the very foundations of healthcare decision-making by utilizing the powerful powers of machine learning. The main objective of this project is to develop a dual-dashboard system that will serve both patients and medical staff. The main objective is to reduce the gap between patients and healthcare professionals, which has existed for a long time. It makes it possible for people to receive highly personalized health assessments, enables efficient appointment scheduling, and provides doctors with recommendations for data-driven treatments. Ultimately, this project aims to profoundly impact the accessibility and quality of healthcare services. It seeks to enhance the patient experience, augment the precision of medical decision-making, and foster seamless collaboration between individuals and their healthcare providers.   

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Published

2024-10-18