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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 11, ISSUE 4, APRIL 2022

Smart Health Guidance Using Machine Learning

Kalaivani V, Manyam Vinod, Parthipan S, Rohith S

DOI: 10.17148/IJARCCE.2022.114194

Abstract: Hospitals are the most widely used means by which a sick person gets medical check-ups, disease diagnosis and treatment recommendation. People consider it as the most reliable means to check their health status. The proposed system is to create an alternative to this conventional method of visiting a hospital and making an appointment with a doctor to get a diagnosis. If one is not very serious and only wants to know about the kind of disease facing, this system is the cure for all ills. Here, the system allows users to share their symptoms and gives the predicted disease with suitable treatment. Once the user enters the symptoms, the data is classified from the dataset and finally the disease will be predicted. After prediction this system also suggests suitable treatment for the disease and also the list of doctors specialized in that field and users can take appointments using this system.

Keywords: Machine Learning, Random Forest Classifier, Django, Data Preprocessing

How to Cite:

[1] Kalaivani V, Manyam Vinod, Parthipan S, Rohith S, “Smart Health Guidance Using Machine Learning,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2022.114194