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Improved Approach for Disease Detection and It's Prescription
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Abstract: There is single doctor per 1,700 citizens in India. The World Health Organization stipulates a minimum ratio of 1:1,000. The Union Health Ministry figures claim that there are about 6-6.5 lakh doctors available, India would need about four lakh more by 2020. So to overcome this problem we proposed a system that will fulfill the requirement. Doctors use symptoms and signs as clues that can help determine or pinpoint the most likely disease. The symptoms changes from patient to patient and it become hard to distinguish from other diseases. If we use singular method to detect any disease we can't pin point the exact disease which patient have. To pinpoint the exact disease we have to consider different aspect of Symptoms and signs. So we need a system that uses multiple techniques to pinpoint exact symptoms and sign. According to the predicted symptoms it will narrow down the disease and provide proper medication on that disease.
Keywords: Image processing, ARM7, tongue segmentation, Disease detection, Artificial neural network.
Keywords: Image processing, ARM7, tongue segmentation, Disease detection, Artificial neural network.
How to Cite:
[1] Swami Akash, Barhate Nanasaheb, Shinde Ajit, Lavhate Seema, βImproved Approach for Disease Detection and It's Prescription,β International Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control Engineering (IJIREEICE), DOI: 10.17148/IJIREEICE.2016.4463
