首页> 美国卫生研究院文献>AMIA Annual Symposium Proceedings >IV. Clinical Consultation Systems Medical Decision Support Systems and Clinical Research Data Bases: A. Medical Decision Support and Artificial Intelligence Methodologies: Bayesian Classification in Medicine: The Transferability Question
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IV. Clinical Consultation Systems Medical Decision Support Systems and Clinical Research Data Bases: A. Medical Decision Support and Artificial Intelligence Methodologies: Bayesian Classification in Medicine: The Transferability Question

机译:IV。临床咨询系统医疗决策支持系统和临床研究数据库:A.医疗决策支持和人工智能方法:医学中的贝叶斯分类:可移植性问题

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摘要

Using probabilities derived from a geographically distant patient population, we applied Bayesian classification to categorize stroke patients by etiology. Performance was assessed both by error rate and with a new linear accuracy coefficient. This approach to patient classification was found to be surprisingly accurate when compared to classification by two neurologists and to classification by the Bayesian method using “low cost” local and subjective probabilities. We conclude that for some medical problems, Bayesian classification systems may be significantly more transferable to new sites than is generally believed.
机译:使用从地理上相距遥远的患者群体得出的概率,我们应用贝叶斯分类对病因进行了病因分类。通过错误率和新的线性精度系数来评估性能。与两名神经科医师进行分类以及贝叶斯方法使用“低成本”局部和主观概率进行分类相比,该患者分类方法出奇地准确。我们得出的结论是,对于某些医疗问题,贝叶斯分类系统可能比通常认为的更容易转移到新站点。

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