Proceedings of the First International Conference on Advanced Scientific Innovation in Science, Engineering and Technology, ICASISET 2020, 16-17 May 2020, Chennai, India

Research Article

Analysis of Diabetic Mellitus Using Predictive Algorithm – A Literature Review

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  • @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
A Usha Nandhini1,*, K. Dharmarajan2
  • 1: Research Scholar, VISTAS
  • 2: Associate Professor, Department of Information Technology, VISTAS
*Contact email: ushanandhini.81090@gmail.com

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.