Proceedings of the 9th Annual ACM India Conference 2016
DOI: 10.1145/2998476.2998497
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Development of Indian Weighted Diabetic Risk Score (IWDRS) using Machine Learning Techniques for Type-2 Diabetes

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Cited by 15 publications
(8 citation statements)
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“…Data are collected using the same questionnaire which was used to collect data for deriving IWDRS [18]. Data is collected from 311 adult subjects, of both genders, with age more than 18 years.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Data are collected using the same questionnaire which was used to collect data for deriving IWDRS [18]. Data is collected from 311 adult subjects, of both genders, with age more than 18 years.…”
Section: Methodsmentioning
confidence: 99%
“…To overcome the limitations of logistic regression models, Chandrakar and Saini have proposed a new methodology for deriving risk score and applied for deriving IWDRS [18]. IWDRS is derived by collecting data from a comprehensive questionnaire consisting of more than 60 risk factors [19], [20].…”
Section: Literature Surveymentioning
confidence: 99%
“…The outputs show that the classification formulated maximizes the coverage in the prediction of diabetics when compared to hand-computed scoring. Chandrakar and Saini [15] formulated an innovative Indian Weighted Diabetic Risk Score (IWDRS). Distance based clustering with Euclidean distance; k-means algorithm and discretization are the Machine Learning Algorithms which were utilized to fetch weighted risk score for diabetes prediction with the risk factors like age, Body-Mass-Index, waist measurement, personal details, family details, food diet, physical activities, stress and life style.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Straight forward summation of all individual parameter's risk scores for getting TIWDRS and based on TIWDRS, determining overall diabetes risk [24] is perfectly right, only if there is no pair of parameters which are negatively correlated. If such pair exist, then this approach will neutralize each other's impact, while they are actually supposed to enhance it.…”
Section: Research Gapementioning
confidence: 99%
“…Then, based on the criteria, risk of that person is determined with the help of total diabetes risk score [10] [18], [19], [20], [21], [22], [23]. DRS tools are useful in two ways [24].…”
Section: Introductionmentioning
confidence: 99%