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@article{180780,
        author = {M.Sowmya and P.Shravya and G.Durga Manikanta Satya Srinivas and M. Nikitha and Mr. G.Mukesh Sir},
        title = {Navigating Health Data:Building Predictive Model For Disease Diagnosis With Machine Learning},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {1},
        pages = {2414-2416},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=180780},
        abstract = {The dependency on computer-based 
technology has resulted in storage of lot of electronic 
data in the health care industry. As a result of which, 
health professionals and doctors are dealing with 
demanding situations to research signs and symptoms 
correctly and perceive illnesses at an early stage. 
However, Machine Learning technology have been 
proven beneficial in giving an immeasurable platform 
in the medical field so that health care issues can be 
resolved effortlessly and expeditiously. Disease 
Prediction is a Machine Learning based system which 
primarily works according to the symptoms given by a 
user. The disease is predicted using algorithms and 
comparison of the datasets with the symptoms 
provided by the user. To the best of our knowledge in 
the area of medical big data analytics none of the 
existing work focused on both data types. Compared to 
several typical estimate algorithms, the calculation 
exactness of our proposed algorithm reaches 94.8% 
with a convergence speed which is faster than that of 
the machine learning disease risk prediction algorithm.},
        keywords = {},
        month = {June},
        }