National Tsing Hua University Institutional Repository:Pressure Ulcers Prediction Using Support Vector Machines
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    NTHUR > College of Engineering  > Department of Industrial Engineering and Engineering Management  > IE Conference Papers  >  Pressure Ulcers Prediction Using Support Vector Machines

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    Title: Pressure Ulcers Prediction Using Support Vector Machines
    Authors: Yan-Cheng Chen;Pa-Chun Wang;Chao-Ton Su
    Teacher: 蘇朝墩
    Date: 2008
    Publisher: Institute of Electrical and Electronics Engineers
    Relation: 4th International Conference on Wireless Communications, Networking and Mobile Computing, 2008. WiCOM '08, Dalian, 12-14 Oct. 2008, pages 1 - 4
    Keywords: medical diagnostic computing
    pattern classification
    support vector machines
    Abstract: Surgical patients are usually at high risk of developing pressure ulcers after their operation. Usually, the pressure ulcers data sets are imbalanced. Therefore, this study aims to examine the real medical case of pressure ulcers with the use of support vector machines (SVMs). SVMs are used for forecasting and are a type of classification techniques. We utilize the measurement of sensitivity and specificity to compare the performances of SVMs with several classification techniques. The results indicated that SVMs performed better than the other classifiers for pressure ulcers prediction. In addition, the classifier of SVMs is a robust and powerful approach when facing the different ratios of training data sets.
    Appears in Collections:[Department of Industrial Engineering and Engineering Management ] IE Conference Papers

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