Disease Prediction and Drug Recommendation Using ML
DOI:
https://doi.org/10.47392/IRJAEM.2024.0465Keywords:
Random-Forest, Machine Learning, Doctors, Patients, HealthcareAbstract
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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Copyright (c) 2024 International Research Journal on Advanced Engineering and Management (IRJAEM)
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.