A new prognosis factor analysis based on nonhomogeneous Markov description

Takeo Shibata, Hiroshi Tanaka, Yoshihiro Tsujimoto, Kimio Yoshimura, Takashi Fukutomi, Takeshi Nanasawa, Naohito Yamaguchi

研究成果: Conference contribution

抜粋

To evaluate prognosis factors, Cox's proportional hazard model has been used. But it was found that the analytical ability was not sufficient. So we propose a new evaluation method combining Markov chain model and multiple logistic regression analysis to estimate the prognosis factors. Stage II breast cancer was chosen as the subject. The data was retrospective data gathered in National Cancer Center Central Hospital. As first step, a simple Markov chain model was constructed to describe the state transition of a breast cancer. Then the multiple property of each state transition was investigated in detail. And the patients who had gotten a recurrence for the first two and a half years were discriminated as the poor prognosis group by a nonparametric test (p<0.05). And the result proved to corresponding with the clinical experience. As second step, three factors (n classification of pathological diagnosis, ductal spread, and estrogen receptor) were selected as the prognosis factors for the early death in Stage II breast cancer by a multiple logistic regression analysis. This new prognosis factor analysis could find out some scientific evidences. Especially, it was found to be remarkable efficient in proving clinically experienced observation.

元の言語English
ホスト出版物のタイトルMEDINFO 2001 - Proceedings of the 10th World Congress on Medical Informatics
出版者IOS Press
ページ543-546
ページ数4
ISBN(印刷物)1586031945, 9781586031947
DOI
出版物ステータスPublished - 2001 1 1
外部発表Yes
イベント10th World Congress on Medical Informatics, MEDINFO 2001 - London, United Kingdom
継続期間: 2005 9 22005 9 5

出版物シリーズ

名前Studies in Health Technology and Informatics
84
ISSN(印刷物)0926-9630
ISSN(電子版)1879-8365

Other

Other10th World Congress on Medical Informatics, MEDINFO 2001
United Kingdom
London
期間05/9/205/9/5

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

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  • これを引用

    Shibata, T., Tanaka, H., Tsujimoto, Y., Yoshimura, K., Fukutomi, T., Nanasawa, T., & Yamaguchi, N. (2001). A new prognosis factor analysis based on nonhomogeneous Markov description. : MEDINFO 2001 - Proceedings of the 10th World Congress on Medical Informatics (pp. 543-546). (Studies in Health Technology and Informatics; 巻数 84). IOS Press. https://doi.org/10.3233/978-1-60750-928-8-543