Disease Prediction and Drug Recommendation Using ML

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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Publication Details

Journal
International Research Journal on Advanced Engineering and Management (IRJAEM)
Published
2024-10-18
DOI
https://doi.org/10.47392/irjaem.2024.0465
Primary Topic
Artificial Intelligence in Healthcare
Type
article
Field-Weighted Citation Impact
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article

Disease Prediction and Drug Recommendation Using ML

S R Sowmya, S. Swetha, S Pratishta
International Research Journal on Advanced Engineering and Management (IRJAEM)
Artificial Intelligence in Healthcare
article

Disease Prediction and Drug Recommendation Using ML

S R Sowmya, S. Swetha, S Pratishta
article en

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.

International Research Journal on Advanced Engineering and Management (IRJAEM)Vol. 2(10)
Dr. M.G.R. Educational and Research Institute (IN)
Peace, Justice and strong institutions
Openalex Percentile: Top 76%
Artificial Intelligence in Healthcare
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Disease Prediction and Drug Recommendation Using ML — S R Sowmya, S. Swetha, et al. · International Research Journal on Advanced Engineering and Management (IRJAEM) (2024) | TGRS Research Map | TGRS