| Year |
2024
50 Downloads
|
| Volume/Issue/Review Month |
Volume 1 | Special Issue | October |
| Title |
Ayurvedic-based Disease Prediction and Drug Recommendation System |
| Authors |
Sudheer Kumar , Hansraj Kumar , Nitesh Kumar , Mamatarani Das |
| Broad area |
Ayurvedic-based Disease Prediction and Drug Recommendation System |
| Abstract |
The escalating prevalence of chronic ailments and the burgeoning demand for
personalized healthcare underscore the urgency for innovative healthcare systems. Despite the
rich heritage of Ayurveda, an ancient holistic healing paradigm, its integration into modern
healthcare remains limited. This lacuna necessitates the development of a pioneering Disease
Prediction and Drug Recommendation system rooted in Ayurvedic principles [1]. This proposed
system aims to seamlessly amalgamate Ayurveda’s holistic tenets with contemporary technology,
catering to the need for individualized healthcare solutions. Leveraging machine learning
algorithms and Ayurvedic constitutions, the system endeavors to accurately predict health
conditions and offer personalized herbal treatment recommendations. The core objective is to
bridge the gap between traditional Ayurvedic wisdom and modern healthcare by delivering precise
predictions and tailored interventions for individuals. Emphasizing the use of Ayurvedic medications
aligned with specific diseases, the system strivesto mitigate potential side effectsoften associated
with conventional pharmaceuticals.This integrative system not only seeks to revolutionize healthcare
by providing personalized, holistic, and effective treatments but also to foster a symbiotic
relationship between ancient healing wisdom and cutting-edge technology. The envisioned platform
aims to herald a new era in healthcare, catering to the individual needs of patients while embracing
the time-honored principles of Ayurveda. |
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