Short-term prediction of mortality in patients with systemic lupus erythematosus: classification of outcomes using random forests.
about
An introduction to recursive partitioning: rationale, application, and characteristics of classification and regression trees, bagging, and random forests.Bias in random forest variable importance measures: illustrations, sources and a solution.Clinical features and outcome of pregnancy with SLE-associated thrombocytopenia.Thrombocytopenia in Systemic Lupus Erythematosus: Clinical Manifestations, Treatment, and Prognosis in 230 Patients.Prevalence of systemic lupus erythematosus in South Korea: an administrative database study.Early illness features associated with mortality in the juvenile idiopathic inflammatory myopathies.Characteristics of comorbidities and costs among patients who died from systemic lupus erythematosus in Taiwan.Prediction of chronic damage in systemic lupus erythematosus by using machine-learning modelsValidation of psoriatic arthritis diagnoses in electronic medical records using natural language processing.A prediction model for COPD readmissions: catching up, catching our breath, and improving a national problem.Use of hundreds of electrocardiographic biomarkers for prediction of mortality in postmenopausal women: the Women's Health Initiative.Single-subject anxiety treatment outcome prediction using functional neuroimaging.Identifying important risk factors for survival in patient with systolic heart failure using random survival forests.Mortality in Systemic Lupus Erythematosus: an Updated Review.LEARNING PARSIMONIOUS ENSEMBLES FOR UNBALANCED COMPUTATIONAL GENOMICS PROBLEMS.The evolving concept of SLE comorbidities.Development and validation of a multivariate predictive model for rheumatoid arthritis mortality using a machine learning approachAdverse outcomes after major surgery in patients with systemic lupus erythematosus: a nationwide population-based study.Random forests classification analysis for the assessment of diagnostic skill.Functional anti-CD94/NKG2A and anti-CD94/NKG2C autoantibodies in patients with systemic lupus erythematosus.Systemic Lupus Erythematosus in Primary Care: An Update and Practical Messages for the General Practitioner.A Bayesian Network Model for Predicting Post-stroke Outcomes With Available Risk Factors
P2860
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P2860
Short-term prediction of mortality in patients with systemic lupus erythematosus: classification of outcomes using random forests.
description
2006 nî lūn-bûn
@nan
2006 թուականի Փետրուարին հրատարակուած գիտական յօդուած
@hyw
2006 թվականի փետրվարին հրատարակված գիտական հոդված
@hy
2006年の論文
@ja
2006年論文
@yue
2006年論文
@zh-hant
2006年論文
@zh-hk
2006年論文
@zh-mo
2006年論文
@zh-tw
2006年论文
@wuu
name
Short-term prediction of morta ...... outcomes using random forests.
@ast
Short-term prediction of morta ...... outcomes using random forests.
@en
type
label
Short-term prediction of morta ...... outcomes using random forests.
@ast
Short-term prediction of morta ...... outcomes using random forests.
@en
prefLabel
Short-term prediction of morta ...... outcomes using random forests.
@ast
Short-term prediction of morta ...... outcomes using random forests.
@en
P2093
P356
P1476
Short-term prediction of morta ...... outcomes using random forests.
@en
P2093
James D Malley
Michael M Ward
Sinisa Pajevic
P356
10.1002/ART.21695
P577
2006-02-01T00:00:00Z