HL7标准在医疗仪器通讯中的应用

介绍通过编程实现以HL7标准的检验数据在检验仪器与临床检验信息系统(clinical labora-tory information system,CLIS)之间的数据格式转换,从而解决各种检验仪器的接口软件重用性问题,并保证数据交换的准确性.国内外检验仪器的生产厂家应尽快应用HL7标准,规范仪器通讯接口的数据通讯.     

山西省农业产业结构分析

采用纵向与横向相结合的研究方法,分析了山西农业产业结构。认为目前山西农业产业结构不尽合理,与发达省份存在较大差距。需要采取提高产品竞争力、强化市场意识、推进农业产业化经营、调整种植业内部结构、加强农业基础设施建设等措施,以促进山西农业产业结构的优化。     

“蚤”是本有其字的假借吗

传统的观点认为,“蚤”是本有其字的假借,它的本字“早”产生于“蚤”之前。近十几年提出的观点认为,“早”产生于“蚤”之后,“蚤”是本无其字的假借。作者经过研究认为,“蚤”仅仅是个有本字的假借字,至于它的本字产生先后并不能确切地断定。     

改善全息圆锥准直线及提高准直精度的一种方法

用一张计算全息图可产生锥面波,锥面波衍射图样的中心在空间是连续的,可作为直线基准。本文提出了提高锥面波直线准直精度的一种方法即空间滤波法。实验结果与理论分析一致。     

“人才高地”、“创新高地”与城市房价

“抢人大战”城市大量集聚科研人才是否会引起城市房价上涨,一直是悬而未决的关键性问题。文章运用面板门限模型,发现科研人才集聚对城市房价存在倒“U”型的影响效应,并与城市高质量创新发展阶段有关,从而为政府制定合宜的人才引进政策稳定房价,并推动城市经济高质量发展提供了重要的参考。     

重要数据跨境流动背景下风险路径的识别与分级

重要数据的跨境流动引发了数据安全、国家安全等风险挑战。风险路径的识别和分级是对重要数据跨境流动进行预警管理的重要内容。本文基于复杂网络中的二分网络模型,对重要数据的跨境流动进行研究。首先,通过重要数据跨境流动的二分网络和关联网络识别风险路径;其次,构建基于网络结构和接收节点属性的目标风险路径方法以计算其风险值;最后,对我国某重要行业跨境流动的数据开展实证分析,验证算法的有效性和精准度。本文旨在为重要数据跨境流动的预警管理提供量化方法,有效预防重要数据跨境流动带来的风险,提升我国数据治理能力。     

Risk prediction of hypertension complications based on the intelligent algorithm optimized Bayesian network

Hypertension and its related complications could be a major threat issue for cardiopathy and stroke. Effective prevention and control can decrease the incidence rate of complications in hypertension. Based on the medical data of 3062 patients with cardiovascular and cerebrovascular diseases from 2017 to 2018 in a grade-A tertiary hospital in Shanghai, the study identified the risk factors of hypertension complications by text mining. On this basis, the K2 algorithm based on the improved particle swarm optimization was proposed to optimize the structure of the Bayesian network (BN) by establishing a multi-population cooperative search mechanism. Then the optimized BN was used to analyze and predict the incidence rate of hypertension complications. Results indicate that the major indicators of accuracy, sensitivity, specificity, and AUC have been improved, and the proposed algorithm is superior to the common data mining algorithms such as the back propagation neural network and the decision tree. Through the proposed model and algorithm, the high-risk factors were identified and the occurrence probability of hypertension complications was predicted, which could provide the personalized health management guidance for hypertensive patients to prevent and control hypertension complications.