Assessment of performance of survival prediction models for cancer prognosis - Wikidata - awgldk - TriplyDB

Assessment of performance of survival prediction models for cancer prognosis

Assessment of performance of survival prediction models for cancer prognosis

http://www.wikidata.org/entity/Q34348386

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Predictive biomarkers for treatment selection: statistical considerations Predicting the survival of patients with small bowel neuroendocrine tumours: comparison of 3 systems.Key concepts and limitations of statistical methods for evaluating biomarkers of kidney disease.Assessment of reproducibility of cancer survival risk predictions across medical centers Characterizing dynamic regulatory programs in mouse lung development and their potential association with tumourigenesis via miRNA-TF-mRNA circuits.Subgroup identification for treatment selection in biomarker adaptive design Statistics in clinical research: Important considerations Identifying patients with advanced chronic conditions for a progressive palliative care approach: a cross-sectional study of prognostic indicators related to end-of-life trajectories.Machine-learning prediction of cancer survival: a retrospective study using electronic administrative records and a cancer registry.Pharmacogenomic biomarkers for personalized medicine.Prostate Cancer Probability Prediction By Machine Learning Technique.Machine learning models in electronic health records can outperform conventional survival models for predicting patient mortality in coronary artery disease

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P2860

Assessment of performance of survival prediction models for cancer prognosis

http://www.wikidata.org/entity/Q34348386

description

2012 nî lūn-bûn

@nan

2012 թուականի Յուլիսին հրատարակուած գիտական յօդուած

@hyw

2012 թվականի հուլիսին հրատարակված գիտական հոդված

@hy

2012年の論文

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2012年論文

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2012年論文

@zh-hant

2012年論文

@zh-hk

2012年論文

@zh-mo

2012年論文

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2012年论文

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name

Assessment of performance of survival prediction models for cancer prognosis

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Assessment of performance of survival prediction models for cancer prognosis

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Assessment of performance of survival prediction models for cancer prognosis

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type

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Assessment of performance of survival prediction models for cancer prognosis

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Assessment of performance of survival prediction models for cancer prognosis

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Assessment of performance of survival prediction models for cancer prognosis

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Assessment of performance of survival prediction models for cancer prognosis

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Assessment of performance of survival prediction models for cancer prognosis

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Assessment of performance of survival prediction models for cancer prognosis

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1471-2288-12-102

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BMC Medical Research Methodology

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Assessment of performance of survival prediction models for cancer prognosis

@en

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Hung-Chia Chen

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

James J Chen

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

Kuang Fu Cheng

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

Ralph L Kodell

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

P2860

Semi-supervised methods to predict patient survival from gene expression data

Distinct types of diffuse large B-cell lymphoma identified by gene expression profiling

Gene expression profiling predicts clinical outcome of breast cancer

A new prognostic index (MIPI) for patients with advanced-stage mantle cell lymphoma

Assessment and comparison of prognostic classification schemes for survival data.

Time-dependent ROC curves for censored survival data and a diagnostic marker.

Translation of microarray data into clinically relevant cancer diagnostic tests using gene expression ratios in lung cancer and mesothelioma.

Microarray gene expression data with linked survival phenotypes: diffuse large-B-cell lymphoma revisited.

Interpretation of genomic data: questions and answers.

Assessment of survival prediction models based on microarray data.

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1471-2288-12-102

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102

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scholarly article

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10.1186/1471-2288-12-102

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12

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2012-07-23T00:00:00Z

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229552072

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1003624527

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