基于知识的妊娠期弓形虫感染诊断假设和治疗建议的生成。

Dieter Kopecky, Klaus-Peter Adlassnig, Andrea-Romana Prusa, Michael Hayde, Yoichi Hayashi, Birgit Panzenböck, Andrea Rappelsberger, Arnold Pollak
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引用次数: 4

摘要

孕妇初次感染弓形虫后,约50%的病例通过经胎盘传播导致胎儿感染。可能的损害程度取决于寄生对胎儿组织影响的持续时间。基于网络的软件系统ToxoNet通过包含有关解释弓形虫病血清学结果的医学知识的知识库处理妊娠期间进行的血清学抗体检测结果。为此,它将母体血液的所有血清学调查结果与知识库的内容相匹配,并生成解释性报告,包括诊断假设、治疗建议和进一步调查建议。模糊集用于形式化后续调查之间的特定间隔,以考虑个体患者的不同免疫反应。在一项回顾性研究中,弓形虫对简单血清学病例的正确率为100%,对更复杂的病例的正确率约为87.8%。弓形虫包括一个知识库、一个解释系统以及一个知识获取和修改程序。通过标准浏览器访问医学知识库服务器,就可以在WWW上获得它。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Knowledge-based generation of diagnostic hypotheses and therapy recommendations for toxoplasma infections in pregnancy.

Primary infection of pregnant women with the parasite Toxoplasma gondii results in infections of the unborn by transplacental transmission in about 50% of the cases. The degree of possible damage depends on the duration of parasitical impact on fetal tissues. The web-based software system ToxoNet processes the results of serological antibody tests performed during pregnancy by means of a knowledge base containing medical knowledge on the interpretation of toxoplasmosis serology findings. For this purpose, it matches the results of all serological investigations of maternal blood with the content of the knowledge base and generates interpretive reports consisting of a diagnostic hypothesis, recommendations for therapy, and proposals for further investigations. Fuzzy sets are used to formalize certain intervals between subsequent investigations to take the varying immune responses of individual patients into account. In a retrospective study, ToxoNet classified 100% of the trivial serological cases and about 87.8% of the more complex cases correctly. ToxoNet comprises a knowledge base, a system for interpretation, and a knowledge acquisition and modification program. It is available on the WWW by accessing a medical knowledge-base server via standard browsers.

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