DREAM Challenges

Prostate Cancer challenge

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1-10 of 10 ARTICLES
https://doi.org/10.12688/f1000research.8192.2
Method Article metrics
Revised
A predictive model of overall survival in patients with metastatic castration-resistant prostate cancer
[version 2; peer review: 2 approved]
Peer Reviewers Motoki Shiga; Peter K Rogan
  • Funders
  • University of Turku Graduate School
  • Sigrid Juselius Foundation
LATEST VERSION PUBLISHED 17 May 2019
https://doi.org/10.12688/f1000research.8231.3
Method Article metrics
Revised
Heterogeneous ensembles for predicting survival of metastatic, castrate-resistant prostate cancer patients
[version 3; peer review: 2 approved, 1 approved with reservations]
Peer Reviewers Donna P. Ankerst; Jinfeng Xiao; Amber L Simpson
LATEST VERSION PUBLISHED 06 Jul 2017
https://doi.org/10.12688/f1000research.9434.1
Method Article metrics
DWCox: A density-weighted Cox model for outlier-robust prediction of prostate cancer survival
[version 1; peer review: 1 approved, 2 approved with reservations]
Peer Reviewers Motoki Shiga; Sebastian Pölsterl; Riku Klen and Mehrad Mahmoudian
  • Funders
  • National Institutes of Health
  • National Science Foundation
PUBLISHED 01 Dec 2016
https://doi.org/10.12688/f1000research.8427.1
Method Article metrics
Survival prognosis and variable selection: A case study for metastatic castrate resistant prostate cancer patients
[version 1; peer review: 2 approved]
Peer Reviewers Sarah Lemler; Jacob von Bornemann Hjelmborg
PUBLISHED 16 Nov 2016
https://doi.org/10.12688/f1000research.8201.1
Method Article metrics
Two-step feature selection for predicting survival time of patients with metastatic castrate resistant prostate cancer
[version 1; peer review: 2 approved]
Peer Reviewers Niels Richard Hansen and Søren Wengel Mogensen; Ka Yee Yeung
PUBLISHED 16 Nov 2016
https://doi.org/10.12688/f1000research.8226.1
Method Article metrics
An ensemble-based Cox proportional hazards regression framework for predicting survival in metastatic castration-resistant prostate cancer (mCRPC) patients
[version 1; peer review: 1 approved, 2 approved with reservations]
Peer Reviewers Stephen R. Piccolo; Ka Yee Yeung and Daniel Kristiyanto; Russell Greiner and Luke Kumar
PUBLISHED 16 Nov 2016
https://doi.org/10.12688/f1000research.8282.1
Method Article metrics
Using complex networks for refining survival prognosis in prostate cancer patient
[version 1; peer review: 2 approved]
Peer Reviewers Osvaldo Anibal Rosso; Diego Raphael Amancio
PUBLISHED 16 Nov 2016
https://doi.org/10.12688/f1000research.8353.1
Research Article metrics
Predicting discontinuation of docetaxel treatment for metastatic castration-resistant prostate cancer (mCRPC) with random forest
[version 1; peer review: 1 approved, 1 approved with reservations]
Peer Reviewers Vishakh Hegde and Karen Sachs; John E. Mittler
PUBLISHED 16 Nov 2016
https://doi.org/10.12688/f1000research.8628.1
Method Article metrics
Predicting survival time for metastatic castration resistant prostate cancer: An iterative imputation approach
[version 1; peer review: 2 approved, 1 approved with reservations]
Peer Reviewers Devin C. Koestler; Ruoqing Zhu; C Jason Liang and Wenjuan Gu
PUBLISHED 16 Nov 2016
https://doi.org/10.12688/f1000research.8680.1
Method Article metrics
Three general concepts to improve risk prediction: good data, wisdom of the crowd, recalibration
[version 1; peer review: 2 approved with reservations]
Peer Reviewers Sebastian Pölsterl; Riccardo de Bin
PUBLISHED 16 Nov 2016
1-10 of 10 ARTICLES
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