統計的識別手法を用いたC型肝炎患者の血液検査データによる病態識別
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| Published in | 生体医工学 Vol. 43; no. 3; pp. 416 - 423 |
|---|---|
| Main Authors | , , , |
| Format | Journal Article |
| Language | Japanese |
| Published |
公益社団法人 日本生体医工学会
2005
|
| Online Access | Get full text |
| ISSN | 1347-443X 1881-4379 |
| DOI | 10.11239/jsmbe.43.416 |
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| Author | 黒柳, 奨 青木, 一真 岩田, 彰 山内, 一信 |
|---|---|
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| References | 5. Cortes C, Vapnik V : Support vector networks. Mach Learn. 20 : 273-297, 1995. 6. Jain A, Zongker D : Feature selection : Evaluation, application, and small sample performance. IEEE Trans Pattern Anal Mach Intell. 19 (2) : 153-158, 1997. 11. Vapnik VN : Statistical Learning Theory. Wiley Interscience, Hoboken, New Jersey, 1998. 12. Guyon I : Gene selection for cancer classification using support vector machines. Mach Learn. 46 : 389-422, 2002. 4. 小栗宏次, 岩田, 彰, 深津俊明, 山内一信, ニューラルネットによる慢性肝疾患診断支援システム 「NISYS」. 医用電子と生体工学. 32 (2) : 106-111, 1994. 10. Vijayakumar S, Wu S : Sequential support vector classifiers and regression. Proc of Int Conf Soft Computing, 1999, pp. 610-619. 8. Marill T, Green DM : On the effectiveness of receptors in recognition system, IEEE Trans Inf Theory. 9 : 11-17, 1963. 13. 山口拓真, 丸山 稔 : 階層型識別器を用いた情景画像からの文字抽出手法. 電子情報通信学会論文誌. J88DII (6) : 1047-1055, 2005. 3. Batts KP, Ludwig J : Chronic hepatitis : An update on terminology and reporting. Am J Surg Pathol. 19 (12) : 1409-1417, 1995. 7. Whitney AW : A direct method of nonparametric measurement selection. IEEE Trans Comput. 20 : 1100-1103, 1971. 2. Icida F, Tsujii T, Omata M, Ichida T, Inoue K, Kamimura T, Yamada G, Hino K, Yokosuka O, Suzuki H : Classification report : New Inuyama classification for histological assessment of chronic hepatitis. Int Hepatol Commun. 6 : 112-119, 1996. 1. Desmet VJ, Gerber M, Hoofnagle JH, Manns M, Scheuer PJ : Classification of chronic hepatitis : Diagnosis, grading and staging. Hepatology. 19 : 1513-1520, 1994. 9. Pudil P, Novovicová J, Kittler J : Floating search methods in feature selection. Pattern Recognit Lett. 15 (11) : 1119-1125, 1994. |
| References_xml | – reference: 7. Whitney AW : A direct method of nonparametric measurement selection. IEEE Trans Comput. 20 : 1100-1103, 1971. – reference: 13. 山口拓真, 丸山 稔 : 階層型識別器を用いた情景画像からの文字抽出手法. 電子情報通信学会論文誌. J88DII (6) : 1047-1055, 2005. – reference: 12. Guyon I : Gene selection for cancer classification using support vector machines. Mach Learn. 46 : 389-422, 2002. – reference: 6. Jain A, Zongker D : Feature selection : Evaluation, application, and small sample performance. IEEE Trans Pattern Anal Mach Intell. 19 (2) : 153-158, 1997. – reference: 9. Pudil P, Novovicová J, Kittler J : Floating search methods in feature selection. Pattern Recognit Lett. 15 (11) : 1119-1125, 1994. – reference: 2. Icida F, Tsujii T, Omata M, Ichida T, Inoue K, Kamimura T, Yamada G, Hino K, Yokosuka O, Suzuki H : Classification report : New Inuyama classification for histological assessment of chronic hepatitis. Int Hepatol Commun. 6 : 112-119, 1996. – reference: 1. Desmet VJ, Gerber M, Hoofnagle JH, Manns M, Scheuer PJ : Classification of chronic hepatitis : Diagnosis, grading and staging. Hepatology. 19 : 1513-1520, 1994. – reference: 3. Batts KP, Ludwig J : Chronic hepatitis : An update on terminology and reporting. Am J Surg Pathol. 19 (12) : 1409-1417, 1995. – reference: 11. Vapnik VN : Statistical Learning Theory. Wiley Interscience, Hoboken, New Jersey, 1998. – reference: 8. Marill T, Green DM : On the effectiveness of receptors in recognition system, IEEE Trans Inf Theory. 9 : 11-17, 1963. – reference: 4. 小栗宏次, 岩田, 彰, 深津俊明, 山内一信, ニューラルネットによる慢性肝疾患診断支援システム 「NISYS」. 医用電子と生体工学. 32 (2) : 106-111, 1994. – reference: 5. Cortes C, Vapnik V : Support vector networks. Mach Learn. 20 : 273-297, 1995. – reference: 10. Vijayakumar S, Wu S : Sequential support vector classifiers and regression. Proc of Int Conf Soft Computing, 1999, pp. 610-619. |
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| Title | 統計的識別手法を用いたC型肝炎患者の血液検査データによる病態識別 |
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