Decision Support, Knowledge Representation and Management

Yearb Med Inform 2004; 13(01): 505-507
DOI: 10.1055/s-0038-1638189

Synopsis

Georg Thieme Verlag KG Stuttgart

G. Kozmann

¹Department of Information Systems University of Veszprém Veszprém, Hungary

References
1 Kaufman DR, Patel VL, Hilliman C, Morin PC, Pevzner J, Weinstock RS. et al. Usability in the real world: assessing medical information technologies in patients’ homes. J Biomed Inform 2003; 36 1-2 45-60.
2 Morrison ML, McCluggage WG, Price GJ, Diamond J, Sheeran MRM, Mulholland KM, Walsh et al. Expert system support using a Bayesian belief network for the classification of endometrial hyperplasia. J Pathol 2002; 197: 403-14.
3 Peleg M, Yeh I, Altman RB. Modelling biological processes using workflow and Petri Net models. Bioinformatics 2002; 18: 825-37.
4 Peters A, Lausen B, Michelson G, Gefeller O. Diagnosis of Glaucoma by Indirect Classifiers. Methods Inf Med 2003; 42: 99-103.
5 Prado M, Reina-Tosina LRJ, Palma A, Milán JA. Virtual Center for Renal Support: Technological Approach to Patient Physiological Image. IEEE Trans Biomed Eng 2002; 49: 1420-30.
6 Montironi R, Whimster WF, Collan Y, Hamilton PW, Thomson D, Bartels PH. How to develop and use a Bayesian Belief Network. J Clin Pathol 1996; 49 (03) 194-201.
7 Mardin CY, Hothorn T, Peters A, Junemann AG, Nguyen NX, Lausen B. New glaucoma classification method based on standard Heidelberg Retina Tomograph parameters by bagging classification trees. J Glaucoma 2003; 12 (04) 340-6.