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Predicting Diabetes Mellitus and its Complications through a Graph-Based Risk Scoring System

Published: 15 October 2020 Publication History

Abstract

It is vital to estimate and predict the chronological risk rate of individuals of diabetes mellitus and its complications through non-invasive or minimally invasive methods. Data mining and machine learning techniques are applied to health data repositories to achieve this goal. Although past studies have used various combinations of technologies for the assessment and prediction of diabetes and its complications, there is a lack of attention to combining temporal data with a visual representation assessment technique, which can be widely accepted. Further, prediction of risk throughout the lifetime of an individual in a chronological manner by considering their future changes with respect to the characteristics of a similar cohort is something worth contemplating for accurate risk prediction models. We aim to introduce a simple, powerful visualization technique to self-monitoring, which will be highly beneficial in enhancing the health care management sector through empowering self-care management and policymaking. The system will effectively impact the progression of diabetes and its complications by early forecasting the risk without the aid of professional physician knowledge which would help to reduce the burden of the disease while saving the expenditures of diabetes mellitus.

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    ICMHI '20: Proceedings of the 4th International Conference on Medical and Health Informatics
    August 2020
    316 pages
    ISBN:9781450377768
    DOI:10.1145/3418094
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Published: 15 October 2020

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    Author Tags

    1. Complications of Diabetes
    2. Diabetes Mellitus
    3. Prediction
    4. Risk scoring system

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