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@article{167284,
        author = {Ashutosh Yadav and Nishant Upadhyay and Shubh Patel},
        title = {Disease Prediction System},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {3},
        pages = {1214-1218},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=167284},
        abstract = {Predire is a web-based application that will help to predict diseases and provide a educational environment for students and patients. This project will provide an effective platform for the medical students and patients. There’s been an increase in soul disease prediction models but there has never been models which predicts more than one variety of disease in a wider spectrum. This project focuses and tackles this research problem by using classification algorithm of data science on meticulously curated medical dataset. Random Forest Classifier is used for the classification of the dataset, where the users predict their disease based on 5 input symptoms. The met conclusion of this project is to predict user’s diseases accurate, however the research is labelled to be in progress as with more medical data, more accurate, descriptive and intricate prediction models can me made.},
        keywords = {Healthcare Prediction, Recommendation, Machine Learning. },
        month = {August},
        }