Loading

Artificial Intelligence based Android App for Medical Consultation
Sindhumol S1, Athira Ardhet2

1Sindhumol S., DDU Kaushal Kendra, Cochin University of Science and Technology, Kochi, Kerala, India.
2Athira Ardhet, DDU Kaushal Kendra, Cochin University of Science and Technology, Kochi, Kerala, India.

Manuscript received on 29 June 2019 | Revised Manuscript received on 05 July 2019 | Manuscript published on 30 July 2019 | PP: 1840-1846 | Volume-8 Issue-9, July 2019 | Retrieval Number: I8229078919/19©BEIESP | DOI: 10.35940/ijitee.I8229.078919

Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© 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: This paper proposes an Artificial Intelligence (AI) based mobile health application model for E-consultation and disease diagnosis. An android application, named ‘consult-AI, predicting diseases based on symptoms and associated health issues is designed and developed in this work. The proposed system consists of the user interface and web services, symptoms-disease database, disease-drugs database, disease prediction engine, and prescription engine. The user interface is implemented using android/java programming, and the disease diagnosis part is designed with the help of symptoms-disease database, AI-assisted prediction engines, and web services. The prescription engine works with the disease-drugs database and outputs from the disease prediction engine to deliver the e-prescription recommendation to doctors according to the severity of the condition. The patients can quickly identify the disease by just inputting their issues, and the software generates awareness on the state through which he/she may be passing at that time. The system suggests some first aid activities to save their lives and facilitates a remote consultation with a specialist available in the session. The proposed system proves very helpful in urgent cases where the patient needs immediate attention before reaching the hospital or in instances where there are no doctors available in the area.
Index Terms: E-Consultation, mHealth, Artificial Intelligence, Android Application, Natural Language Processing

Scope of the Article: Artificial Intelligence