Open AccessArtificial Intelligence based Android App for Medical Consultation
Author(s) -
S. Sindhumol,
Athira Ardhet
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.i8229.078919
Subject(s) - android (operating system) , computer science , medical prescription , disease , java , software , android app , web application , web service , world wide web , user interface , expert system , database , medicine , artificial intelligence , operating system , pathology , pharmacology
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.