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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/103099

    Title: Construction of a Prediction Model for Nephropathy among Obese Patients Using Genetic and Clinical Features
    Authors: Huang, Guan-Mau;Chen, Yi-Cheng;Weng, Julia Tzu-Ya
    Contributors: 淡江大學資訊工程學系
    Keywords: obesity;nephropathy prediction;personalized diagnostic support system
    Date: 2015-05-19
    Issue Date: 2015-05-18 19:25:50 (UTC+8)
    Publisher: Springner
    Abstract: Obesity is a complex disease arising from an excessive accumula-tion of body fat which leads to various complications such as diabetes, hyper-tension, and renal diseases. The growing prevalence of obesity is also becom-ing a major risk factor for nephropathy. When patients are diagnosed with nephropathy, their progression towards renal failure is usually inevitable. Therefore, a prediction tool will help medical doctors identify patients with a higher risk of developing nephropathy and implement early treatment or pre-vention. In this study, we attempted to construct a diagnostic support system for nephropathy using clinical and genetic traits. Our results show that pre-diction models involving the use of both genetic and clinical features yielded the best classification performance. Our finding is in accordance with the complex nature of obesity-related nephropathy and support the notion of us-ing genetic traits to design a personalized diagnostic model.
    Relation: The 2nd International Workshop on Pattern Mining and Application of Big Data (BigPMA 2015) (in conjunction with PAKDD 2015)
    Appears in Collections:[資訊工程學系暨研究所] 會議論文

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