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@article{149927,
        author = {Shubham Gupta and Pranav Kulkarni and Animesh Singh},
        title = {Disease Detection using Machine Learning},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {7},
        number = {2},
        pages = {32-35},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=149927},
        abstract = {India is home to 1.3 billion people and with such a huge population arises sanitation and cleanliness problems. These problems  further nurture deadly diseases. Indians are prone to a variety of disease be it lifestyle related or deficiency related. Indians, majorly constituting of conservative societies often shy away from relaying their symptoms to doctors which further leads to mortal complications. We used machine learning to bridge the gap between the lack of communication. Machine learning is a widely over used topic in medical field but rather than removing the doctor completely and substituting it with an Artificial Intelligence we made them work together to simplify the whole process and make it less time consuming and less prone to errors. We investigated different diseases and their symptoms. Post the analysis we made a model to classify the symptoms and provide an overview of the patient to the doctor while limiting the scope to provide a better diagnostics. It not only will reduce the burden on the doctor but also save the patient from unnecessary medical tests thus reducing the overall costs of medication.},
        keywords = {Disease Detection using Machine Learning},
        month = {},
        }