📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Identifying patients with asthma-chronic obstructive pulmonary disease overlap syndrome using latent class analysis of electronic health record data: a study protocol. (2018)

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1038/s41533-018-0088-4

PubMed Identifier: 29925836

Publication URI: http://europepmc.org/abstract/MED/29925836

Type: Journal Article/Review

Volume: 28

Parent Publication: NPJ primary care respiratory medicine

Issue: 1

ISSN: 2055-1010