Heterogeneous ensembles for predicting survival of metastatic, castrate-resistant prostate cancer patients.

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Heterogeneous ensembles for predicting survival of metastatic, castrate-resistant prostate cancer patients.

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http://www.wikidata.org/entity/Q40956308

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2016 nî lūn-bûn

@nan

2016年の論文

@ja

2016年論文

@yue

2016年論文

@zh-hant

2016年論文

@zh-hk

2016年論文

@zh-mo

2016年論文

@zh-tw

2016年论文

@wuu

2016年论文

@zh

2016年论文

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name

Heterogeneous ensembles for pr ...... tant prostate cancer patients.

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type

Item

label

Heterogeneous ensembles for pr ...... tant prostate cancer patients.

@en

prefLabel

Heterogeneous ensembles for pr ...... tant prostate cancer patients.

@en

P1476

Heterogeneous ensembles for pr ...... tant prostate cancer patients.

@en

P2093

Amin Katouzian

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Lichao Wang

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Nassir Navab

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Pankaj Gupta

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Sailesh Conjeti

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Sebastian Pölsterl

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P2860

Random Forests

Neural network ensembles

Prediction of overall survival for patients with metastatic castration-resistant prostate cancer: development of a prognostic model through a crowdsourced challenge with open clinical trial data.

A study in transfer learning: leveraging data from multiple hospitals to enhance hospital-specific predictions

A time-dependent discrimination index for survival data.

Bayesian Model Selection and Model Averaging.

Improved modeling of clinical data with kernel methods.

Evaluating the yield of medical tests.

Docetaxel and prednisone with or without lenalidomide in chemotherapy-naive patients with metastatic castration-resistant prostate cancer (MAINSAIL): a randomised, double-blind, placebo-controlled phase 3 trial.

Validation, updating and impact of clinical prediction rules: a review.

P304

2676

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P31

scholarly article

P356

10.12688/F1000RESEARCH.8231.3

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P478

http://www.w3.org/2001/XMLSchema#string

P577

2016-11-16T00:00:00Z

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P698

28713544

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P932

5500862

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