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基于临床决策统计模型的智能对话。

Intelligent dialogue based on statistical models of clinical decision-making.

作者信息

McSherry D M

出版信息

Stat Med. 1986 Sep-Oct;5(5):497-502. doi: 10.1002/sim.4780050514.

DOI:10.1002/sim.4780050514
PMID:3787002
Abstract

The independence Bayesian model has been used widely in computer programs designed to support clinical decision-making. A reasoning strategy has been developed to enable these programs to conduct clinically pertinent dialogue and explain their reasoning. It has been implemented in a program for the diagnosis of acute abdominal pain based on the Bayesian model of de Dombal et al. Several features of the dialogue design have been adopted from artificial intelligence research, including shared initiative and critiquing. The program adopts a flexible goal-driven strategy, attempting to confirm the clinician's diagnosis or rule out the likeliest alternative. Symptoms and signs are selected in order of their expected weights of evidence in favour of the hypothesized disease.

摘要

独立贝叶斯模型已广泛应用于旨在支持临床决策的计算机程序中。已开发出一种推理策略,使这些程序能够进行与临床相关的对话并解释其推理过程。它已在一个基于德·东巴尔等人的贝叶斯模型诊断急性腹痛的程序中得以实现。对话设计的几个特点借鉴了人工智能研究成果,包括共同主动性和批判性。该程序采用灵活的目标驱动策略,试图确认临床医生的诊断或排除最有可能的替代诊断。症状和体征按其支持假设疾病的预期证据权重顺序进行选择。

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Intelligent dialogue based on statistical models of clinical decision-making.基于临床决策统计模型的智能对话。
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