Article
Can computed tomography classifications of chronic obstructive pulmonary disease be identified using Bayesian networks and clinical data?
Computer methods and programs in biomedicine - 1 Jun 2013
Thomsen Lars P, Weinreich Ulla M, Karbing Dan S, Helbo Jensen Vanja G, Vuust Morten, Frøkjær Jens B, Rees Stephen E
Abstract excerpt
Diagnosis and classification of chronic obstructive pulmonary disease (COPD) may be seen as difficult. Causal reasoning can be used to relate clinical measurements with radiological representation of COPD phenotypes airways disease and emphysema. In this paper a causal probabilistic network was constructed that uses clinically available measurements to classify patients suffering from COPD into the main...
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