An information-based Bayesian approach to history taking

被引：0

作者：

Carenini, G ^{[1
]}

Monti, S ^{[1
]}

Banks, G ^{[1
]}

机构：

[1] UNIV PITTSBURGH,DEPT NEUROL,PITTSBURGH,PA 15260

来源：

ARTIFICIAL INTELLIGENCE IN MEDICINE | 1995年 / 934卷

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：129 / 138

页数：10

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