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