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@article{168749,
        author = {ILAPAVULOORI RAGHUTEJA},
        title = {Disease Prediction and Drug Recommendation Prototype Using Machine Learning},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {5},
        pages = {2078-2082},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=168749},
        abstract = {Online recommender systems are being used increasingly often for hospitals, medical professionals, and drugs. Today, the great majority of consumers look online before asking their doctors for prescription suggestions for a range of health conditions. The medicine recommendation system gives the patient reliable information about the medication, the dosage, and any possible adverse effects. In this project, the power of machine learning techniques were used to recommend the drug based on symptoms. We have used Random Forest Classifier and Support Vector Machine (SVC) algorithm for disease prediction and drug recommendation prototype among those we got best precision score of 94% with Support Vector Classifier.},
        keywords = {Online Recommender Systems, Healthcare Recommendation Systems, Medical Recommendation Systems, Drug Recommendation Systems, Machine Learning in Healthcare},
        month = {October},
        }