A comparison of regression trees, logistic regression, generalized additive models, and multivariate adaptive regression splines for predicting AMI mortality.
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Improved cardiovascular risk prediction using nonparametric regression and electronic health record data.Using methods from the data-mining and machine-learning literature for disease classification and prediction: a case study examining classification of heart failure subtypes.Real-data comparison of data mining methods in prediction of diabetes in iran.Stratification of the severity of critically ill patients with classification trees.Indicators of "healthy aging" in older women (65-69 years of age). A data-mining approach based on prediction of long-term survivalA non-parametric method for building predictive genetic tests on high-dimensional data.Data mining methods in the prediction of Dementia: A real-data comparison of the accuracy, sensitivity and specificity of linear discriminant analysis, logistic regression, neural networks, support vector machines, classification trees and random foDetection of independent associations in a large epidemiologic dataset: a comparison of random forests, boosted regression trees, conventional and penalized logistic regression for identifying independent factors associated with H1N1pdm influenza inDiscovery proteomics and nonparametric modeling pipeline in the development of a candidate biomarker panel for dengue hemorrhagic fever.Classification and clustering analysis of pyruvate dehydrogenase enzyme based on their physicochemical properties.Artificial neural networks versus proportional hazards Cox models to predict 45-year all-cause mortality in the Italian Rural Areas of the Seven Countries Study.Logic Forest: an ensemble classifier for discovering logical combinations of binary markersUsing the optimal robust receiver operating characteristic (ROC) curve for predictive genetic tests.Ordinal Logic Regression: A classifier for discovering combinations of binary markers for ordinal outcomesBoosted classification trees result in minor to modest improvement in the accuracy in classifying cardiovascular outcomes compared to conventional classification trees.Using Ensemble-Based Methods for Directly Estimating Causal Effects: An Investigation of Tree-Based G-Computation.Changes in Proteome Profile of Peripheral Blood Mononuclear Cells in Chronic Chagas DiseaseDerivation and validation of a multivariate model to predict mortality from pulmonary embolism with cancer: The POMPE-C tool.Proteomics improves the prediction of burns mortality: results from regression spline modelingImpact of Anesthetic Predictors on Postpartum Hospital Length of Stay and Adverse Events Following Cesarean Delivery: A Retrospective Study in 840 Consecutive Parturients.Towards a common methodology for developing logistic tree mortality models based on ring-width data.Prediction of early death among patients enrolled in phase I trials: development and validation of a new model based on platelet count and albumin.Regression trees for predicting mortality in patients with cardiovascular disease: what improvement is achieved by using ensemble-based methods?Balance diagnostics for comparing the distribution of baseline covariates between treatment groups in propensity-score matched samples.The importance of modelling the spread of insecticide resistance in a heterogeneous environment: the example of adding synergists to bed netsCo-occurring risk factors for current cigarette smoking in a U.S. nationally representative sample.S-Nitrosylation Proteome Profile of Peripheral Blood Mononuclear Cells in Human Heart FailureCautionary tales in the interpretation of studies of tools for predicting risk and prognosis.Improving Hospital Performance Rankings Using Discrete Patient Diagnoses for Risk Adjustment of Outcomes.Development of clinical decision rules to predict recurrent shock in dengue.Estimating challenge load due to disease outbreaks and other challenges using reproduction records of sows.Events per variable (EPV) and the relative performance of different strategies for estimating the out-of-sample validity of logistic regression models.Characterizing the intersection of Co-occurring risk factors for illicit drug abuse and dependence in a U.S. nationally representative sample.Are PCI Service Volumes Associated with 30-Day Mortality? A Population-Based Study from Taiwan.Derivation and validation of a prediction rule for estimating advanced colorectal neoplasm risk in average-risk Chinese.Physician performance assessment using a composite quality index.Observed to expected or logistic regression to identify hospitals with high or low 30-day mortality?Type I error rates, coverage of confidence intervals, and variance estimation in propensity-score matched analyses
P2860
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P2860
A comparison of regression trees, logistic regression, generalized additive models, and multivariate adaptive regression splines for predicting AMI mortality.
description
2007 nî lūn-bûn
@nan
2007年の論文
@ja
2007年論文
@yue
2007年論文
@zh-hant
2007年論文
@zh-hk
2007年論文
@zh-mo
2007年論文
@zh-tw
2007年论文
@wuu
2007年论文
@zh
2007年论文
@zh-cn
name
A comparison of regression tre ...... for predicting AMI mortality.
@en
type
label
A comparison of regression tre ...... for predicting AMI mortality.
@en
prefLabel
A comparison of regression tre ...... for predicting AMI mortality.
@en
P2860
P356
P1476
A comparison of regression tre ...... for predicting AMI mortality.
@en
P2860
P304
P356
10.1002/SIM.2770
P407
P577
2007-07-01T00:00:00Z