Ceusters Werner, Smith Barry
New York State Center of Excellence in Bioinformatics and Life Sciences, 700 Ellicott Street, Buffalo, NY 14203, USA ; Department of Psychiatry, University at Buffalo, Buffalo, NY, USA.
Web Semant. 2006 Sep 1;4(3):229-236. doi: 10.1016/j.websem.2006.05.002. Epub 2006 Jul 11.
The IPAP Schizophrenia Algorithm was originally designed in the form of a flow-chart to help physicians optimise the treatment of schizophrenic patients in the spirit of guideline-based medicine. We take this algorithm as our starting point in investigating how artifacts of this sort can benefit from the facilities of high-quality ontologies. The IPAP algorithm exists thus far only in a form suitable for use by human beings. We draw on the resources of Basic Formal Ontology (BFO) in order to show how such an algorithm can be enhanced in such a way that it can be used in Semantic Web and related applications. We found that BFO provides a framework that is able to capture in a rigorous way all the types of entities represented in the IPAP Schizophrenia Algorithm in way which yields a computational tool that can be used by software agents to perform monitoring and control of schizophrenic patients. We discuss the issues involved in building an application ontology for this purpose, issues which are important for any Semantic Web application in the life science and healthcare domains.
IPAP精神分裂症算法最初是以流程图的形式设计的，旨在帮助医生本着基于指南的医学精神优化精神分裂症患者的治疗。我们以此算法为出发点，研究这类工件如何能从高质量本体的设施中受益。到目前为止，IPAP算法仅以适合人类使用的形式存在。我们利用基础形式本体（BFO）的资源，展示如何以一种能在语义网及相关应用中使用的方式增强这样一种算法。我们发现，BFO提供了一个框架，能够以一种严谨的方式捕捉IPAP精神分裂症算法中所表示的所有实体类型，从而产生一种计算工具，软件代理可使用该工具对精神分裂症患者进行监测和控制。我们讨论了为此构建应用本体所涉及的问题，这些问题对于生命科学和医疗保健领域的任何语义网应用都很重要。
