Journal of Advances in Developmental Research

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Drug Recommendation System using Machine Learning

Author(s) U. Bheeresh, G. Siddartha, M. Vasantha, U. Nagendra, Chatta Balaji
Country India
Abstract Using device mastering, our venture proposes a sickness prediction system and a drug prescribing device. For minor troubles, customers should go to the sanatorium in individual to make an appointment, that's time-consuming, and making a smartphone call to make an appointment is very difficult. Such a problem can be solved by means of the use of a disorder prediction app to provide proper tips for a healthy life-style. The use of precise health care tools for sickness prediction has elevated over the last decade because of the variety of sicknesses and low clinical rates of sufferers. Therefore, on this system they awareness on providing users with a right away and accurate ailment prediction in phrases of the symptoms they display in addition to the estimated severity of the disease. The channel information is checked towards the database. In addition, if the main operational indicator is new, stored within the database and different channels can estimate the severity of the disorder. The user uses an internet/Android app for smooth portability, access and far flung get right of entry to in areas in which docs have difficulty achieving. Generally, customers do now not know all the remedies for a particular disease. The software additionally targets to offer medicine and drug hints for the predicted disorder. Therefore, this gadget facilitates to facilitate the control of fitness.
Keywords drug suggestions, device gaining knowledge of, sensitivity analysis, ratings, critiques
Field Engineering
Published In Volume 17, Issue 1, January-June 2026
Published On 2026-04-04
Cite This Drug Recommendation System using Machine Learning - U. Bheeresh, G. Siddartha, M. Vasantha, U. Nagendra, Chatta Balaji - IJAIDR Volume 17, Issue 1, January-June 2026.
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