Bellika Johan Gustav, Hartvigsen Gunnar, Norum Jan
Norwegian Centre for Telemedicine, University Hospital of North Norway, Norway.
Stud Health Technol Inform. 2003;95:373-8.
Electronic discharge letters are in many cases insufficient as a recipe for further treatment and recovery. Through using discharge letters as input to our neural network based information retrieval system Pasent, we have been able to provide relevant medical information. 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. In the reported experiments, we achieved search results comparable to the tftdf method without building specialised context models for the experiment.
在很多情况下，电子出院小结不足以作为进一步治疗和康复的方案。通过将出院小结用作我们基于神经网络的信息检索系统Pasent的输入，我们得以提供相关医学信息。Pasent搜索方法利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。在报告的实验中，我们在未为实验构建专门上下文模型的情况下，获得了与tftdf方法相当的搜索结果。
