Analysis of Diabetic Mellitus Using Predictive Algorithm – A Literature Review

Usha Nandhini, A and Dharmarajan, K. (2021) Analysis of Diabetic Mellitus Using Predictive Algorithm – A Literature Review. In: ICASISET 2020, 16-17 May 2020, Chennai, India.

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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.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: diabetes machine learning datamining techniques
Subjects: Q Science > QA Mathematics > QA76 Computer software
Depositing User: EAI Editor III.
Date Deposited: 09 Mar 2021 09:47
Last Modified: 09 Mar 2021 09:47
URI: https://eprints.eudl.eu/id/eprint/1388

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