医学诊断作为一种语言游戏。
Medical diagnosis as a linguistic game.
作者信息
Fritz Peter, Kleinhans Andreas, Kuisle Florian, Albu Patricius, Fritz-Kuisle Christine, Alscher Mark Dominik
机构信息
Department of Clinical Pathology, Robert-Bosch-Hospital, Stuttgart, Germany.
Department of General Internal Medicine and Nephrology, Robert-Bosch-Hospital, Auerbachstrasse 110, D-70376, Stuttgart, Germany.
出版信息
BMC Med Inform Decis Mak. 2017 Jul 10;17(1):103. doi: 10.1186/s12911-017-0488-3.
BACKGROUND
We present a formalized medical knowledge system using a linguistic approach combined with a semantic net.
METHOD
Diseases are defined and coded by natural linguistic terms and linked via a complex network of attributes, categories, classes, lists and other semantic conditions.
RESULTS
We have isolated more than 4600 disease entities (termed pathosoms using a made-up word) with more than 100.000 attributes sets (termed pathophemes using a made-up word) and a semantic net with more than 140.000 links. All major-medical thesauri like ICD, ICD-O and OPS are included.
CONCLUSIONS
Memem7 is a linguistic approach to medical knowledge approach. With the system, we performed a proof of concept and we conclude from our data that our or similar approaches provides reliable and feasible tools for physicians given a formalized history taking is available. Our approach can be considered as both a linguistic game and a third opinion to a set of patient's data.
背景
我们展示了一个使用语言方法与语义网络相结合的形式化医学知识系统。
方法
疾病通过自然语言术语进行定义和编码，并通过由属性、类别、类、列表和其他语义条件组成的复杂网络进行链接。
结果
我们分离出了4600多个疾病实体（使用一个虚构的词称为病理体），拥有超过100000个属性集（使用一个虚构的词称为病理素）以及一个具有超过140000条链接的语义网络。所有主要的医学叙词表如ICD、ICD - O和OPS都被纳入其中。
结论
Memem7是一种医学知识方法的语言途径。通过该系统，我们进行了概念验证，并且从我们的数据中得出结论，鉴于有形式化的病史记录，我们的方法或类似方法为医生提供了可靠且可行的工具。我们的方法既可以被视为一种语言游戏，也可以被视为对一组患者数据的第三种观点。
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