Research Article
Analysis of Diabetic Mellitus Using Predictive Algorithm – A Literature Review
@INPROCEEDINGS{10.4108/eai.16-5-2020.2304019, author={A Usha Nandhini and K. Dharmarajan}, title={Analysis of Diabetic Mellitus Using Predictive Algorithm -- A Literature Review}, proceedings={Proceedings of the First International Conference on Advanced Scientific Innovation in Science, Engineering and Technology, ICASISET 2020, 16-17 May 2020, Chennai, India}, publisher={EAI}, proceedings_a={ICASISET}, year={2021}, month={1}, keywords={diabetes machine learning datamining techniques}, doi={10.4108/eai.16-5-2020.2304019} }- A Usha Nandhini
K. Dharmarajan
Year: 2021
Analysis of Diabetic Mellitus Using Predictive Algorithm – A Literature Review
ICASISET
EAI
DOI: 10.4108/eai.16-5-2020.2304019
Abstract
An enormous development of Technology growth of healthcare contains plenty number of data. To access a massive data, we are using Big Data Analytics. Diabetes is a leading disease and causes a death & economic development. In healthcare industries doctor prescribed medicine to the patient based on patient medical history and measurement of sugar level. Predictive algorithm helps to analysis, detect and predict disease at early period. It helps doctor to diagnosis disease and gives treatment to the patient respectively. The moto of the paper to research the diabetes prediction with help of Predictive analysis algorithm to predict the diabetes disease accurately.
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