Open AccessDiabetes Prediction System using Classification Techniques & Healthcare Consultation using Artificial Intelligence
Author(s) -
Jeyarani Periyasamy,
M. Noushad Rahim,
Kalaimagal Ramakrishnan
Publication year - 2021
Publication title -
asia proceedings of social sciences
Language(s) - English
Resource type - Journals
eISSN - 2663-6638
pISSN - 2663-662X
DOI - 10.31580/apss.v7i2.1883
Subject(s) - disease , diabetes mellitus , medicine , health care , healthcare system , test (biology) , computer science , medical emergency , pathology , endocrinology , economics , economic growth , paleontology , biology
Diabetes is a global diseases that has affected over 388 million people and cause many deaths and serious condition. This is due to the late detection and diagnosis of the disease as it causes a delay in treatment and becomes harder to prevent it from worsening. It is important to detect the disease at an early stage and start early treatment to prevent it from becoming life-threatening. The aim of this project is to produce a system that can accurately predict the disease in real-time for the user and provide online consultation by doctors and chatbots which will help prevent major illnesses in future. The project targets anyone who may want to check whether they have the disease or not. It also serves as a platform for doctors to provide online consultation to their clients. The project will follow the Knowledge Discovery in Database approach. Implementing the system will reduce time consumption, produce real-time results cost-freely & early detection of diabetes. The project is expected to produce a functional system which accurately predicts diabetes based on the data entered in real-time to minimize visits to clinics and cut the cost of the test while providing online health consultation.