Open AccessAn Early Disease Prediction and Risk Analysis of Diabetic Mellitus using Electronic Medical Records
Author(s) -
Rutuja A Gulhane,
Sunil Gupta
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1085/1/012023
Subject(s) - medical record , diabetes mellitus , disease , health records , medicine , electronic medical record , intensive care medicine , medical emergency , health care , endocrinology , economics , economic growth
In the world today, the fourth leading disease is Diabetes that could lead to other serious complicating diseases. Diabetes is one of the most common chronic disease which can also be the cause of death in many cases. An efficient system for early disease prediction and risk analysis of diabetic mellitus is very much needed as it has the major adverse effects. The large amount of medical data is collected by healthcare industry in the form of Electronic Medical Records. The Electronic Medical Records is communal database for clinical disease and risk prediction that are useful in accurately predicting multiple medical events using machine learning approach. Therefore, this research presents an efficient technique for early prediction and risk analysis of diabetic mellitus disease to improve accuracy and precision using Electronic Medical Records.