Systematic review of clinical prediction models to support the diagnosis of asthma in primary care

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Location: Deutsche Nationalbibliothek Frankfurt am Main

ISSN: 2055-1010

Extent: Online-Ressource

Language: Englisch

Notes: online resource.

Bibliographic citation: Systematic review of clinical prediction models to support the diagnosis of asthma in primary care ; volume:29 ; number:1 ; day:9 ; month:5 ; year:2019 ; pages:1-9 ; date:12.2019
npj Primary care respiratory medicine ; 29, Heft 1 (9.5.2019), 1-9, 12.2019

Classification: Medizin, Gesundheit

Creator: Daines, Luke
McLean, Susannah
Buelo, Audrey
Lewis, Steff
Sheikh, Aziz
Pinnock, Hilary

Contributor: SpringerLink (Online service)

DOI: 10.1038/s41533-019-0132-z

URN: urn:nbn:de:101:1-2019052523161055952095

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 14.08.2025, 10:52 AM CEST

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Daines, Luke
McLean, Susannah
Buelo, Audrey
Lewis, Steff
Sheikh, Aziz
Pinnock, Hilary
SpringerLink (Online service)

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Systematic review of clinical prediction models to support the diagnosis of asthma in primary care

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Other Objects (12)

Clinical prediction models to support the diagnosis of asthma in primary care: a systematic review protocol

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Use and acceptability of an asthma diagnosis clinical decision support system for primary care clinicians: an observational mixed methods study

Diagnosis and management of asthma – Statement on the 2015 GINA Guidelines

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Circulating microRNAs and prediction of asthma exacerbation in childhood asthma

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Deep learning prediction of hospital readmissions for asthma and COPD

Use and acceptability of an asthma diagnosis clinical decision support system for primary care clinicians: an observational mixed methods study

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Impulse oscillometry in the diagnosis of cough variant asthma in children

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Diagnosis and management of asthma – Statement on the 2015 GINA Guidelines

Impulse oscillometry in the diagnosis of cough variant asthma in children

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