Can computed tomography classifications of chronic obstructive pulmonary disease be identified using Bayesian networks and clinical data?

Lars Pilegaard Thomsen; Ulla Møller Weinreich; Dan Stieper Karbing; Vanja G. Helbo Jensen; Morten Vuust; Jens Brøndum Frøkjær; Stephen Edward Rees

doi:10.1016/j.cmpb.2013.02.001

Can computed tomography classifications of chronic obstructive pulmonary disease be identified using Bayesian networks and clinical data?

Lars Pilegaard Thomsen, Ulla Møller Weinreich, Dan Stieper Karbing, Vanja G. Helbo Jensen, Morten Vuust, Jens Brøndum Frøkjær, Stephen Edward Rees

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

10 Citationer (Scopus)

Originalsprog	Engelsk
Tidsskrift	Computer Methods and Programs in Biomedicine
Vol/bind	110
Udgave nummer	3
Sider (fra-til)	361-368
ISSN	0169-2607
DOI	https://doi.org/10.1016/j.cmpb.2013.02.001
Status	Udgivet - 2013

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10.1016/j.cmpb.2013.02.001

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Citationsformater

@article{0c2d38b8df58488cbe563d4dce42b382,

title = "Can computed tomography classifications of chronic obstructive pulmonary disease be identified using Bayesian networks and clinical data?",

author = "Thomsen, {Lars Pilegaard} and Weinreich, {Ulla M{\o}ller} and Karbing, {Dan Stieper} and Jensen, {Vanja G. Helbo} and Morten Vuust and Fr{\o}kj{\ae}r, {Jens Br{\o}ndum} and Rees, {Stephen Edward}",

year = "2013",

doi = "10.1016/j.cmpb.2013.02.001",

language = "English",

volume = "110",

pages = "361--368",

journal = "Computer Methods and Programs in Biomedicine",

issn = "0169-2607",

publisher = "Elsevier",

number = "3",