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    National Tsing Hua University Institutional Repository > 工學院  > 工業工程與工程管理學系 > 會議論文  >  Pressure Ulcers Prediction Using Support Vector Machines

    Please use this identifier to cite or link to this item: http://nthur.lib.nthu.edu.tw/dspace/handle/987654321/46409

    Title: Pressure Ulcers Prediction Using Support Vector Machines
    Authors: Yan-Cheng Chen;Pa-Chun Wang;Chao-Ton Su
    教師: 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.
    URI: http://www.ieee.org/
    Appears in Collections:[工業工程與工程管理學系] 會議論文

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