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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 5, ISSUE 4, APRIL 2016

Enhanced Approach for Disease Detection and its Prescription

Seema S. Lavhate

DOI: 10.17148/IJARCCE.2016.54129

Abstract: According to the world health organization there should be a minimum ratio between doctors and patients which is one as to one thousand respectively. In India this ratio is one as to one thousand and seven hundred so there are seven hundred citizens in India who do not get a proper medication. Union health ministry of India claims that India would need four lakh more doctors up to 2020. To fill up this deficiency I proposed a prototype which will detect the disease and prescribe a proper medication for that particular detected disease. Medical professionals detect most of diseases on the basis of symptoms and signs of that disease. So collecting the symptoms of various diseases from an experienced doctor we can easily detect the disease. We cannot use only one method foe detection. To pinpoint the exact disease which is acquired by the patient we have to use multiple methods.



Keywords: ANN, Feature extraction, Image processing, LPC2148.

How to Cite:

[1] Seema S. Lavhate, “Enhanced Approach for Disease Detection and its Prescription,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2016.54129