Improved detection of prostate cancer using classification and regression tree analysis.
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Nuclear receptor expression defines a set of prognostic biomarkers for lung cancerDevelopment and validation of a colon cancer risk assessment tool for patients undergoing colonoscopy.Management of filariasis using prediction rules derived from data mining.Pretreatment prediction of response to peginterferon plus ribavirin therapy in genotype 1 chronic hepatitis C using data mining analysis.Identification of novel diagnostic serum biomarkers for Chagas' disease in asymptomatic subjects by mass spectrometric profilingSequences in the interferon sensitivity-determining region and core region of hepatitis C virus impact pretreatment prediction of response to PEG-interferon plus ribavirin: data mining analysis.The Association between Survival and the Pathologic Features of Periampullary Tumors Varies over Time.Developing screening services for colorectal cancer on Android smartphonesC-reactive protein as an adverse prognostic marker for men with castration-resistant prostate cancer (CRPC): confirmatory results.A non-parametric method for building predictive genetic tests on high-dimensional data.Risk stratification for hospitalization in acute asthma: the CHOP classification tree.Robust gene expression signature from formalin-fixed paraffin-embedded samples predicts prognosis of non-small-cell lung cancer patientsPredicting outcome on admission and post-admission for acetaminophen-induced acute liver failure using classification and regression tree modelsUpdate on prostate cancer chemoprevention.Malignancy risk assessment in patients with thyroid nodules using classification and regression trees.Can the prostate risk calculator based on Western population be applied to Asian population?Predicting prostate biopsy outcome: artificial neural networks and polychotomous regression are equivalent models.Development of Interpretable Predictive Models for BPH and Prostate Cancer.Serum GADD45a methylation is a useful biomarker to distinguish benign vs malignant prostate disease.Decision trees in epidemiological research.Staging of prostate cancer using automatic feature selection, sampling and Dempster-Shafer fusion.Pretreatment prediction of anemia progression by pegylated interferon alpha-2b plus ribavirin combination therapy in chronic hepatitis C infection: decision-tree analysis.Perioperative Risk Calculator Predicts Long-Term Oncologic Outcome for Patients with Esophageal Carcinoma.Analysis of the stages of change model of drug and alcohol treatment readiness among prisoners.Diagnostic profiles determined by the C.A.R.T procedure: IBD patients and fatigue.Classification tree analysis for the discrimination of pleural exudates and transudates.Free PSA isoforms and intact and cleaved forms of urokinase plasminogen activator receptor in serum improve selection of patients for prostate cancer biopsyPredicting in-hospital mortality in pneumonia-associated septic shock patients using a classification and regression tree: a nested cohort study
P2860
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P2860
Improved detection of prostate cancer using classification and regression tree analysis.
description
2005 nî lūn-bûn
@nan
2005年の論文
@ja
2005年論文
@yue
2005年論文
@zh-hant
2005年論文
@zh-hk
2005年論文
@zh-mo
2005年論文
@zh-tw
2005年论文
@wuu
2005年论文
@zh
2005年论文
@zh-cn
name
Improved detection of prostate cancer using classification and regression tree analysis.
@en
Improved detection of prostate cancer using classification and regression tree analysis.
@nl
type
label
Improved detection of prostate cancer using classification and regression tree analysis.
@en
Improved detection of prostate cancer using classification and regression tree analysis.
@nl
altLabel
Improved Detection of Prostate Cancer Using Classification and Regression Tree Analysis
@en
prefLabel
Improved detection of prostate cancer using classification and regression tree analysis.
@en
Improved detection of prostate cancer using classification and regression tree analysis.
@nl
P2093
P356
P1476
Improved detection of prostate cancer using classification and regression tree analysis.
@en
P2093
Eduardo Barrera
Laura Peters
Mark Garzotto
Motomi Mori
R Guy Hudson
Thomas Klein
Tomasz M Beer
Yi-Ching Hsieh
P304
P356
10.1200/JCO.2005.11.136
P407
P577
2005-03-21T00:00:00Z