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Main disease classification of intermittent claudication via L1-regularized SVM
https://doi.org/10.24517/00008494
https://doi.org/10.24517/00008494e18183ee-6ae9-41e7-817c-79e68b341343
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
TE-PR-WATANABE-T-6409.pdf (372.1 kB)
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| Item type | 学術雑誌論文 / Journal Article(1) | |||||||||
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| 公開日 | 2017-10-03 | |||||||||
| タイトル | ||||||||||
| タイトル | Main disease classification of intermittent claudication via L1-regularized SVM | |||||||||
| 言語 | ||||||||||
| 言語 | eng | |||||||||
| 資源タイプ | ||||||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||||||
| 資源タイプ | journal article | |||||||||
| ID登録 | ||||||||||
| ID登録 | 10.24517/00008494 | |||||||||
| ID登録タイプ | JaLC | |||||||||
| 著者 |
Watanabe, Tetsuyou
× Watanabe, Tetsuyou× Yoneyama, Takeshi× Toribatake, Yasumitsu× Hayashi, Hiroyuki |
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| 著者別表示 |
渡辺, 哲陽
× 渡辺, 哲陽
× 米山, 猛
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| 書誌情報 |
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 号 6611021, p. 6409-6412, 発行日 2013-01-01 |
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| ISSN | ||||||||||
| 収録物識別子タイプ | ISSN | |||||||||
| 収録物識別子 | 1557-170X | |||||||||
| DOI | ||||||||||
| 関連タイプ | isVersionOf | |||||||||
| 識別子タイプ | DOI | |||||||||
| 関連識別子 | 10.1109/EMBC.2013.6611021 | |||||||||
| 出版者 | ||||||||||
| 出版者 | IEEE | |||||||||
| 抄録 | ||||||||||
| 内容記述タイプ | Abstract | |||||||||
| 内容記述 | There are multiple diseases that cause intermittent claudication, including lumber spinal canal stenosis (LSS) and peripheral arterial disease (PAD). LSS is categorized on the basis of the diseased part: L4 and L5. The medical treatment for these groups is totally different and the differentiation is important. With this in mind, we examined walking-motion data for patients and derived several features for the differentiation in previous studies. However, these features were not specialized for classification, and there is no guarantee that the features are effective for real differentiation. The present study investigates the possibility of differentiation by gait analysis, via use of an L1-regularized support vector machine (SVM). An L1-regularized SVM can execute both classification and feature selections simultaneously. On the basis of this method, our paper presents the methodology for classifying the underlying disease of the intermittent claudication with an accuracy of 79.7%. In addition, new effective features for the differentiation are extracted. © 2013 IEEE. | |||||||||
| 著者版フラグ | ||||||||||
| 出版タイプ | AM | |||||||||
| 出版タイプResource | http://purl.org/coar/version/c_ab4af688f83e57aa | |||||||||
