Artificial neural network analysis for predicting pathological stage of clinically localized prostate cancer in the Japanese population.

@article{Matsui2002ArtificialNN,
  title={Artificial neural network analysis for predicting pathological stage of clinically localized prostate cancer in the Japanese population.},
  author={Yoshiyuki Matsui and Shin Egawa and Chotatsu Tsukayama and Akito Terai and Sadahito Kuwao and Shiro Baba and Yoichi Arai},
  journal={Japanese journal of clinical oncology},
  year={2002},
  volume={32 12},
  pages={530-5}
}
BACKGROUND Although prostate cancer has been prevalent in Japan, there has been no particular model for predicting the pathological stage in the Japanese population. We examined whether artificial neural network analysis (ANNA), which is a relatively new diagnostic tool in prostate cancer, can be one of the predictive methods for predicting organ confinement, compared with the traditional logistic regression model, in the Japanese population for the first time. METHODS The study population… CONTINUE READING
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