论文信息 - An Information-Based Bayesian Approach to History Taking

An Information-Based Bayesian Approach to History Taking

Effective history-taking systems need to dynamically reduce the number of questions to ask. This can be done either categorically or probabilistically, by exploiting previous patient's answers. In this paper, we propose a probabilistic information-based history-taking strategy that combines synergistically two information-content measures for reducing the number of questions asked. We have applied this strategy to an existing history-taking system and some preliminary results seem to confirm our initial intuitions.

Giuseppe Carenini | Stefano Monti | Gordon Banks

[1] S. Soloman. The Headache Book , 1991 .

[2] Gregory M. Provan,et al. Knowledge Engineering for Large Belief Networks , 1994, UAI.

[3] Lawrence M. Fagan,et al. Augmented transition networks as a representation for knowledge-based history-taking systems. , 1992, Proceedings. Symposium on Computer Applications in Medical Care.

[4] Gregory F. Cooper,et al. Current research directions in the development of expert systems based on belief networks , 1989 .

[5] D. Heckerman,et al. Toward Normative Expert Systems: Part I The Pathfinder Project , 1992, Methods of Information in Medicine.

[6] W V Slack,et al. A history of computerized medical interviews. , 1984, M.D. computing : computers in medical practice.

[7] Seymour Diamond. The Headache Book , 1973 .

[8] H R Warner,et al. A sequential Bayesean approach to history taking and diagnosis. , 1972, Computers and biomedical research, an international journal.

[9] Sampath Srinivas,et al. A Generalization of the Noisy-Or Model , 1993, UAI.

[10] Judea Pearl,et al. Probabilistic reasoning in intelligent systems , 1988 .

[11] Jerry W. Wsanson. Handbook of Headache Management , 1993 .