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@article{151977,
        author = {Utkarsh Srivastava and Shubham Mishra and Abhishek Vikram and Ashutosh Gupta},
        title = {Disease Prediction System},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {8},
        number = {2},
        pages = {90-93},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=151977},
        abstract = {Successful adoption of data mining in prominent areas such as market analysis, e-commerce, production control, and scientific discovery has led to applications in other industries. The medical environment continues to be information-rich but knowledge week. The medical system has a lot of possible knowledge. However, there is still no powerful analytical tool for revealing hidden relationships and trends in data. The disease could be a term that assigns to some health care conditions associated with the body. This medical condition represents an undesirable state of health that directly controls all parts of the body. Medical data processing techniques like association rule mining, classification, clustering is implemented to research the various varieties of general body-based problems. Classification is a very important problem in data processing. Several popular classifiers construct decision trees to get class models. The information classification relies on the ID3 Decision Tree algorithm which ends from inaccuracy, the info is estimated using entropy-based cross-validations and partition techniques, and the results are compared.},
        keywords = {Data mining, Data processing, Disease prediction, General body diseases, Prediction system.},
        month = {},
        }