DocumentCode :
2488991
Title :
Measurement, complexity and clinical decision-making
Author :
Giani, Umberto
Author_Institution :
Dept. of Preventive Med. Sci., Univ. of Naples "Federico II", Naples, Italy
fYear :
2011
fDate :
30-31 May 2011
Firstpage :
1
Lastpage :
6
Abstract :
The present paper is an attempt to explore the role of measurement in clinical decision-making. First an outline of the bayesian approach to clinical evidential reasoning is carried out. Then, the complex and somewhat counterintuitive features of the dynamics of physiological variables in health and illness are described. Finally, the diagnostic and prognostic value of the measures of biological complexity is discussed.
Keywords :
Bayes methods; decision making; medical administrative data processing; bayesian approach; clinical decision making; clinical evidential reasoning; complexity; health; illness; measurement; Biology; Biomedical monitoring; Cognition; Context; Diseases; Medical diagnostic imaging; Time measurement; bayesian classifiers; chaos; complexity; decision-making; nonlinearity; spectral reserve; uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Medical Measurements and Applications Proceedings (MeMeA), 2011 IEEE International Workshop on
Conference_Location :
Bari
Print_ISBN :
978-1-4244-9336-4
Type :
conf
DOI :
10.1109/MeMeA.2011.5966783
Filename :
5966783
Link To Document :
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