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肿瘤护理助理:基于网络的智能肿瘤护理顾问。

The oncological nurse assistant: a web-based intelligent oncological nurse advisor.

作者信息

Bellika Johan Gustav, Hartvigsen Gunnar

机构信息

Norwegian Centre for Telemedicine, University Hospital of North Norway, N-9038 Tromsø, Norway.

出版信息

Stud Health Technol Inform. 2004;107(Pt 1):573-7.

Abstract

As more people get cancer the need for medical guidance increases. In Norway, one of the providers of medical guidelines is the Norwegian Cancer Association where oncological nurses assist people with a cancer diagnosis or their relatives. The nurses search through both national and internal guide-books and web pages. The input to this process is mostly dis-charge letters. The whole process is time consuming. To serve more patients, PaSent, a web-based intelligent oncological nurse advisor, has been developed. Through using discharge letters as input to our neural network based information retrieval system PaSent, we have been able to provide relevant medical information to the patient as well as to the health personnel themselves. The PaSent search method uses predefined knowledge about the context, paired with the vocabulary of the input document, to compute a relevance measure for a potential result document. The system has been validated by oncological nurses and medical doctors. In the reported experiments, the achieved search results from PaSent have been comparable to the results achieved by the health personnel.

摘要

随着越来越多的人患上癌症,对医疗指导的需求也在增加。在挪威,医疗指南的提供者之一是挪威癌症协会,肿瘤护士在那里为癌症确诊患者或其亲属提供帮助。护士们会查阅国家和内部的指南书籍以及网页。这个过程的输入主要是出院小结。整个过程很耗时。为了服务更多患者,已经开发了一个基于网络的智能肿瘤护士顾问PaSent。通过将出院小结作为基于神经网络的信息检索系统PaSent的输入,我们能够为患者以及医护人员本身提供相关的医疗信息。PaSent搜索方法使用关于上下文的预定义知识,并结合输入文档的词汇,来计算潜在结果文档的相关性度量。该系统已经得到肿瘤护士和医生的验证。在报告的实验中,PaSent取得的搜索结果与医护人员取得的结果相当。

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