Risk factors for asthma hospitalizations in a managed care organization: development of a clinical prediction rule.
about
A systematic review of predictive models for asthma development in childrenMLBCD: a machine learning tool for big clinical dataPredicT-ML: a tool for automating machine learning model building with big clinical data.Risk factors and predictive clinical scores for asthma exacerbations in childhood.Low parental literacy is associated with worse asthma care measures in children.Study of modifiable risk factors for asthma exacerbations: virus infection and allergen exposure increase the risk of asthma hospital admissions in children.How computers help make efficient use of consultationsUsing Computational Approaches to Improve Risk-Stratified Patient Management: Rationale and Methods.Effect of social factors on winter hospital admission for respiratory disease: a case-control study of older people in the UK.Automating Construction of Machine Learning Models With Clinical Big Data: Proposal Rationale and Methods.A Roadmap for Optimizing Asthma Care Management via Computational Approaches.
P2860
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P2860
Risk factors for asthma hospitalizations in a managed care organization: development of a clinical prediction rule.
description
2003 nî lūn-bûn
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2003年の論文
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2003年学术文章
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name
Risk factors for asthma hospit ...... of a clinical prediction rule.
@en
Risk factors for asthma hospit ...... of a clinical prediction rule.
@nl
type
label
Risk factors for asthma hospit ...... of a clinical prediction rule.
@en
Risk factors for asthma hospit ...... of a clinical prediction rule.
@nl
prefLabel
Risk factors for asthma hospit ...... of a clinical prediction rule.
@en
Risk factors for asthma hospit ...... of a clinical prediction rule.
@nl
P2093
P1476
Risk factors for asthma hospit ...... of a clinical prediction rule
@en
P2093
Anita Joshua
Diana Petitti
E Francis Cook
Michael Schatz
P304
P577
2003-08-01T00:00:00Z