Abstract
In the field of Clinical Decision Support System (CDSS), the clinical pathway has been widely used and promoted in the hospitals.Tthe traditional way to manage and organize the clinical pathway has already not adapt to the needs of the present. In order to adapt to the current application requirements of the clinical pathway and improve the way to manage, organize and search the clinical pathway, this paper proposes to build a clinical pathway database to manage and store the clinical pathway. Based on the structure characteristics of the clinical pathway, a new Lucene-based method and a framework are proposed in this paper. The Lucene-based method can index the clinical pathway according the structure of the article of the clinical pathway.
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Li, Q., Yu, H., Chu, H., Zhang, J. (2012). An Intelligent Knowledge Retrieval Framework for Clinical Diagnosis and Treatment in CDSS. In: Lei, J., Wang, F.L., Deng, H., Miao, D. (eds) Emerging Research in Artificial Intelligence and Computational Intelligence. AICI 2012. Communications in Computer and Information Science, vol 315. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34240-0_26
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DOI: https://doi.org/10.1007/978-3-642-34240-0_26
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-34239-4
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