Diabetes prediction in Pima Indians using ANN and statistical techniques

Kuldeep Kumar; Ping Zhang

Diabetes prediction in Pima Indians using ANN and statistical techniques

Bond Business School

Research output: Contribution to journal › Article › Research › peer-review

Abstract

Due to the fact that Pima Indian tribe has lived in the same location for an unmitigated number of years, a vast source of information of these people has been gained, which helps researchers for the study of diabetes and possible genetic factors of the disease. In this paper, we use Artificial Neural Network (ANN) and some statistical techniques for the prediction of diabetes. All the prediction models are evaluated with ROC curves.

Original language	English
Pages (from-to)	89-96
Number of pages	8
Journal	JP Journal of Biostatistics
Volume	4
Issue number	1
Publication status	Published - 2010

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Cite this

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title = "Diabetes prediction in Pima Indians using ANN and statistical techniques",

abstract = "Due to the fact that Pima Indian tribe has lived in the same location for an unmitigated number of years, a vast source of information of these people has been gained, which helps researchers for the study of diabetes and possible genetic factors of the disease. In this paper, we use Artificial Neural Network (ANN) and some statistical techniques for the prediction of diabetes. All the prediction models are evaluated with ROC curves. ",

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AB - Due to the fact that Pima Indian tribe has lived in the same location for an unmitigated number of years, a vast source of information of these people has been gained, which helps researchers for the study of diabetes and possible genetic factors of the disease. In this paper, we use Artificial Neural Network (ANN) and some statistical techniques for the prediction of diabetes. All the prediction models are evaluated with ROC curves.

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SP - 89

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JO - JP Journal of Biostatistics

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Diabetes prediction in Pima Indians using ANN and statistical techniques

Abstract

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