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基于知识发现的老年心内科住院患者尿路感染健康因素分析。

Knowledge Discovery-Based Analysis of Health Factors of Urinary Infections in Elderly Cardiology Inpatients.

机构信息

Department of Cardiovascular Medicine, Chongqing Seventh People's Hospital, Chongqing 401320, China.

Department of Endocrinology and Nephrology, Chongqing Seventh People's Hospital, Chongqing 401320, China.

出版信息

J Healthc Eng. 2022 Apr 21;2022:7037037. doi: 10.1155/2022/7037037. eCollection 2022.

Abstract

A set of semantic similarity calculation methods combining full-text text and domain knowledge topics is proposed for the current study of entity association relations such as disease-gene in medical texts combined with topics in knowledge discovery, which is insufficient to reveal the deep semantic association relations of medical domain knowledge at topic level. Taking urinary infections in elderly inpatients as the research subject, word embedding representation of word vectors and topic vectors is performed by the TWE model, and similarity calculation is performed by combining text and domain knowledge topics based on Siamese Network framework. The urinary microbiological culture results of both groups were dominated by , accounting for 34.65% and 47.92%, respectively; the use of antimicrobial drugs in the symptomatic urinary infection group was 94.19% higher than that in the asymptomatic bacteriuria group, 77.27% (  = 8.158, =0.004).

摘要

针对目前医学文献中疾病-基因等实体关联关系的研究,结合知识发现中的主题,提出了一种融合全文文本和领域知识主题的语义相似度计算方法,主题层面揭示医学领域知识的深层次语义关联关系还不够。以老年住院患者尿路感染为研究对象,采用 TWE 模型对词向量和主题向量进行词嵌入表示,基于孪生网络框架结合文本和领域知识主题进行相似度计算。两组的尿微生物培养结果均以 为主,分别占 34.65%和 47.92%;症状性尿路感染组使用抗菌药物的比例高于无症状菌尿组,94.19%,77.27%(=8.158,=0.004)。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/08d3/9050277/e2b069bd654b/JHE2022-7037037.001.jpg

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