探索一种适用于《伊利亚特》的全新最佳信息算法。
Exploring a new best information algorithm for Iliad.
作者信息
Guo D, Lincoln M J, Haug P J, Turner C W, Warner H R
机构信息
University of Utah, Department of Medical Informatics.
出版信息
Proc Annu Symp Comput Appl Med Care. 1991:624-8.
Iliad is a diagnostic expert system for internal medicine. One important feature that Iliad offers is the ability to analyze a particular patient case and to determine the most cost-effective method for pursuing the work-up. Iliad's current "best information" algorithm has not been previously validated and compared to other potential algorithms. Therefore, this paper presents a comparison of four new algorithms to the current algorithm. The basis for this comparison was eighteen "vignette" cases derived from real patient cases from the University of Utah Medical Center. The results indicated that the current algorithm can be significantly improved. More promising algorithms are suggested for future investigation.
伊利亚德是一个用于内科的诊断专家系统。伊利亚德提供的一个重要功能是能够分析特定患者的病例，并确定进行检查的最具成本效益的方法。伊利亚德当前的“最佳信息”算法此前尚未经过验证，也未与其他潜在算法进行比较。因此，本文将四种新算法与当前算法进行了比较。这种比较的基础是从犹他大学医学中心的真实患者病例中提取的18个“虚拟”病例。结果表明，当前算法可以得到显著改进。建议采用更有前景的算法以供未来研究。
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