TY - GEN
T1 - Medical decision making using ignorant influence diagrams
AU - Ramoni, Marco
AU - Riva, Alberto
AU - Stefanelli, Mario
AU - Patel, Vimla
PY - 1995
Y1 - 1995
N2 - Bayesian Belief Networks (BBNs) play a relevant role in the field of Artificial Intelligence in Medicine and they have been successfully applied to a wide variety of medical domains. An appealing character of BBNs is that they easily extend into a complete decision-theoretic formalism known as Influence Diagrams (IDS). Unfortunately, BBNs and ros require a large amount of information that is not always easy to obtain either from human experts or from the statistical analysis of databases. In order to overcome this limitation, we developed a class of IDs, called Ignorant Influence Diagrams (IIDs), able to reason on the basis of incomplete information and to to improve the accuracy of the decisions as a monotonically increasing function of the available information. The aim of this paper is show how IIDs can be useful to model medical decision making with incomplete information.
AB - Bayesian Belief Networks (BBNs) play a relevant role in the field of Artificial Intelligence in Medicine and they have been successfully applied to a wide variety of medical domains. An appealing character of BBNs is that they easily extend into a complete decision-theoretic formalism known as Influence Diagrams (IDS). Unfortunately, BBNs and ros require a large amount of information that is not always easy to obtain either from human experts or from the statistical analysis of databases. In order to overcome this limitation, we developed a class of IDs, called Ignorant Influence Diagrams (IIDs), able to reason on the basis of incomplete information and to to improve the accuracy of the decisions as a monotonically increasing function of the available information. The aim of this paper is show how IIDs can be useful to model medical decision making with incomplete information.
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U2 - 10.1007/3-540-60025-6_132
DO - 10.1007/3-540-60025-6_132
M3 - Conference contribution
AN - SCOPUS:84898068704
SN - 3540600256
SN - 9783540600251
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 139
EP - 150
BT - Artificial Intelligence in Medicine - 5th Conference on Artificial Intelligence in Medicine Europe, AIME 1995, Proceedings
T2 - 5th Conference on Artificial Intelligence in Medicine Europe, AIME 1995
Y2 - 25 June 1995 through 28 June 1995
ER -