Development of Interpretable Predictive Models for BPH and Prostate Cancer.

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Development of Interpretable Predictive Models for BPH and Prostate Cancer.

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2015 nî lūn-bûn

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2015年の論文

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2015年論文

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2015年論文

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2015年論文

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2015年論文

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2015年論文

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2015年论文

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2015年论文

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2015年论文

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Development of Interpretable Predictive Models for BPH and Prostate Cancer.

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Development of Interpretable Predictive Models for BPH and Prostate Cancer.

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Development of Interpretable Predictive Models for BPH and Prostate Cancer.

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P1476

Development of Interpretable Predictive Models for BPH and Prostate Cancer.

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P2093

Alicia Vivo

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J A Rodríguez-Montes

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Pedro J Tárraga

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P2860

Prostate-specific antigen: current status.

Use of the percentage of free prostate-specific antigen to enhance differentiation of prostate cancer from benign prostatic disease: a prospective multicenter clinical trial.

Estimates of the cancer incidence and mortality in Europe in 2006.

Regression of prostate cancer following administration of Genistein Combined Polysaccharide (GCP), a nutritional supplement: a case report.

Comparison of nomograms with other methods for predicting outcomes in prostate cancer: a critical analysis of the literature.

A critical appraisal of logistic regression-based nomograms, artificial neural networks, classification and regression-tree models, look-up tables and risk-group stratification models for prostate cancer.

Ratio of free or complexed prostate-specific antigen (PSA) to total PSA: which ratio improves differentiation between benign prostatic hyperplasia and prostate cancer?

Multicenter evaluation of an artificial neural network to increase the prostate cancer detection rate and reduce unnecessary biopsies.

Improved detection of prostate cancer using classification and regression tree analysis.

Prediction error estimation: a comparison of resampling methods.

P304

15-24

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P31

scholarly article

P356

10.4137/CMO.S19739

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P407

English

P478

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P50

Pablo Bermejo

P577

2015-02-25T00:00:00Z

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P5875

272793406

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P698

25780348

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P932

4345941

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