Prediction of Pathological Stage in Patients with Prostate Cancer: A Neuro-Fuzzy Model.

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A Deep Belief Network and Dempster-Shafer-Based Multiclassifier for the Pathology Stage of Prostate Cancer.PROCEE: a PROstate Cancer Evaluation and Education serious game for African Caribbean men

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Prediction of Pathological Stage in Patients with Prostate Cancer: A Neuro-Fuzzy Model.

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2016 nî lūn-bûn

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2016年の論文

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2016年論文

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2016年論文

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2016年論文

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2016年論文

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2016年論文

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2016年论文

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2016年论文

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2016年论文

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name

Prediction of Pathological Stage in Patients with Prostate Cancer: A Neuro-Fuzzy Model.

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Prediction of Pathological Stage in Patients with Prostate Cancer: A Neuro-Fuzzy Model.

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Prediction of Pathological Stage in Patients with Prostate Cancer: A Neuro-Fuzzy Model.

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Prediction of Pathological Stage in Patients with Prostate Cancer: A Neuro-Fuzzy Model.

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Prediction of Pathological Stage in Patients with Prostate Cancer: A Neuro-Fuzzy Model.

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Prediction of Pathological Stage in Patients with Prostate Cancer: A Neuro-Fuzzy Model.

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P1476

Prediction of Pathological Stage in Patients with Prostate Cancer: A Neuro-Fuzzy Model

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P2093

David Brown

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Masood Khan

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Robert C Rees

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P2860

The University of California, San Francisco Cancer of the Prostate Risk Assessment score: a straightforward and reliable preoperative predictor of disease recurrence after radical prostatectomy

Fuzzy sets

Critical review of prostate cancer predictive tools

Predictive modeling techniques in prostate cancer.

Updated nomogram to predict pathologic stage of prostate cancer given prostate-specific antigen level, clinical stage, and biopsy Gleason score (Partin tables) based on cases from 2000 to 2005

Preoperative nomogram predicting the 10-year probability of prostate cancer recurrence after radical prostatectomy

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.

Artificial neural network for predicting pathological stage of clinically localized prostate cancer in a Taiwanese population.

Identifying the Most Informative Prediction Tool for Cancer-specific Mortality After Radical Prostatectomy: Comparative Analysis of Three Commonly Used Preoperative Prediction Models.

Screening for prostate cancer decreases the risk of developing metastatic disease: findings from the European Randomized Study of Screening for Prostate Cancer (ERSPC).

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e0155856

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scholarly article

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10.1371/JOURNAL.PONE.0155856

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English

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Georgina Cosma

Alan G. Pockley

Giovanni Acampora

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2016-06-03T00:00:00Z

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27258119

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Prediction of Pathological Stage in Patients with Prostate Cancer: A Neuro-Fuzzy Model.

about

P2860

P2860

Prediction of Pathological Stage in Patients with Prostate Cancer: A Neuro-Fuzzy Model.

description

name

type

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prefLabel

P1433

P1476

P2093

P2860

P304

P31

P356

P407

P433

P478

P50

P577

P698

P932

P356

P1433

P1476

P2093

P2860

P304

P31

P356

P407

P433

P478

P50

P577

P698

P932