AI Enabled Self Diagnosis Predictor Tool using Tongue Image Capture with Automatic Prescription Generation
Dhwani Trivedi1, Bhargav Goradiya2, Ghanshyam Rathod3
1Dhwani Trivedi, EC, BVM, Engineering College, Anand, India.
2Dr. Bhargav Goradiya EC, BVM, Engineering College, Anand, India.
3Dr. Ghanshyam Rathod, EC, BVM, Engineering College, Anand, India.
Manuscript received on 25 April 2020 | Revised Manuscript received on 07 May 2020 | Manuscript Published on 22 May 2020 | PP: 26-29 | Volume-9 Issue-7S July 2020 | Retrieval Number: 100.1/ijitee.G10080597S20 | DOI: 10.35940/ijitee.G1008.0597S20
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: WHO data shows that half of the people in the world suffer due to basic health care needs as there are not enough medical facilities available in many parts of the world. It is difficult for the refugees to have all the basic health care needs and not enough doctors available for primary diagnosis. To diagnose the person there are many methods by which the doctor can predict what type disease one might be suffering from. One of those factors includes the first diagnosis done by just observing the tongue, as it’s the only visible part of the body and one of the factors which helps for primary diagnosis and widely accepted by doctors in TCM, diagnosis. It addresses for an aid to people to do primary diagnosis from tongue using AI device, like Raspberry Pi with camera, which is trained using tongue dataset of different types of tongue images like strawberry tongue, Black tongue, normal tongue, Red tongue, Swallowed tongue etc. for various symptoms of various diseases to identify the type of the tongue and based on that it will generate the prescription. The proposed research work is based on the edge computing and does not need any internet or cloud support and best suitable for installing as portable kiosk in affected areas where primary medical facility is not available. The report generated by system has primary predicted suggestions based on the tongue diagnosis using AI.
Keywords: ICT in Health, Artificial Intelligence, Primary Diagnosis, Health Prediction, Edge Computing.
Scope of the Article: Image Security