000363 ROUGH SETS THEORY AND LOGISTIC REGRESSION ANALYSIS IN PREDICTION OF OVARIAN TUMORS MALIGNANCY

R. Moszynski; D. Szpurek; J. Stanek; D. Samulak; M. Pawlak; S. Sajdak

doi:10.1136/ijgc-00009577-200509001-00359

Article info

Poster Group 2B – Tuesday, September 27, 2005

000363 ROUGH SETS THEORY AND LOGISTIC REGRESSION ANALYSIS IN PREDICTION OF OVARIAN TUMORS MALIGNANCY

Authors

R. Moszynski Division of Gynecological Surgery, Department of Gynecology and Obstetrics, Kami Marcinkowski University of Medical Sciences, Poznan, Poland PubMed articles Google scholar articles
D. Szpurek Division of Gynecological Surgery, Department of Gynecology and Obstetrics, Kami Marcinkowski University of Medical Sciences, Poznan, Poland PubMed articles Google scholar articles
J. Stanek Division of Gynecological Surgery, Department of Gynecology and Obstetrics, Kami Marcinkowski University of Medical Sciences, Poznan, Poland PubMed articles Google scholar articles
D. Samulak Division of Gynecological Surgery, Department of Gynecology and Obstetrics, Kami Marcinkowski University of Medical Sciences, Poznan, Poland PubMed articles Google scholar articles
M. Pawlak Division of Gynecological Surgery, Department of Gynecology and Obstetrics, Kami Marcinkowski University of Medical Sciences, Poznan, Poland PubMed articles Google scholar articles
S. Sajdak Division of Gynecological Surgery, Department of Gynecology and Obstetrics, Kami Marcinkowski University of Medical Sciences, Poznan, Poland PubMed articles Google scholar articles

Citation

Moszynski R, Szpurek D, Stanek J, et al

000363 ROUGH SETS THEORY AND LOGISTIC REGRESSION ANALYSIS IN PREDICTION OF OVARIAN TUMORS MALIGNANCY

International Journal of Gynecologic Cancer 2005;15:151.

Online issue publication

September 01, 2005

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