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Int. J. Electron. Heal.最新文献

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Ranking the access control models for secured sharing of EHR using fuzzy TOPSIS technique 利用模糊TOPSIS技术对电子病历安全共享的访问控制模型进行排序
Pub Date : 1900-01-01 DOI: 10.1504/ijeh.2019.10030547
Shalini Bhartiya, D. Mehrotra
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引用次数: 1
Measuring body temperature wirelessly: acceptance in a hospital environment and possible surveillance implications 无线测量体温:在医院环境中的接受程度和可能的监测意义
Pub Date : 1900-01-01 DOI: 10.1504/ijeh.2021.10040436
J. Mertl, D. Tolar
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引用次数: 0
Implementation of eHealth applications by primary care physicians in the European Union member states 欧盟成员国初级保健医生实施电子保健应用程序
Pub Date : 1900-01-01 DOI: 10.1504/ijeh.2021.10039221
E. Ardielli
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引用次数: 3
Barriers to accessing online medical records: an analysis by priority condition status 访问在线医疗记录的障碍:按优先状态进行的分析
Pub Date : 1900-01-01 DOI: 10.1504/ijeh.2022.10049938
S. Mukhopadhyay, R. Basak, T. J. Carney, D. Carpenter
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引用次数: 0
Integration of primary healthcare and public health 初级保健和公共卫生一体化
Pub Date : 1900-01-01 DOI: 10.1504/ijeh.2021.117826
N. Yessimov, N. Izmailova, Dauletkhan Yessimov
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引用次数: 1
Requirement specification of an ontology-based semantic recommender system for medical prescriptions and drug interaction detection 基于本体的药物处方和药物相互作用检测语义推荐系统需求规范
Pub Date : 1900-01-01 DOI: 10.1504/ijeh.2019.10030545
A. Safaei, Sayyed Saeid Safaei
The prescription of proper drugs is very important for disease treatment and patient health. Search and analyse the resources to find the drug interactions is a time-consuming and difficult task. It is possible to accelerate this process and improve the quality of drug prescriptions using the life sciences information sources available on the semantic web. In this paper, requirement specification of a ontology-based semantic recommender system for medical prescriptions and drug interaction detection has been presented. The main functions of the system and its requirements were initially extracted and described in detail by observing the existing system in the hospitals, interviewing medical specialists, and analysing questionnaires. Then, an appropriate ontology was designed and implemented for the system by using Protege to detect drug interactions. A prototype was developed using Java to evaluate the functions of drug recommendations and drug interaction detection. The system performance was evaluated under different scenarios compared with similar approaches for drug prescription and interaction detection. The evaluation results demonstrated the enhanced performance of the proposed approach in both drug prescription and interaction detection functions. This indicates the benefits of proposed system as a computerised physician ordering entry.
正确的药物处方对疾病治疗和患者健康至关重要。搜索和分析资源以发现药物相互作用是一项耗时且困难的任务。使用语义网上的生命科学信息源可以加速这一过程并提高药物处方的质量。提出了一种基于本体的药物处方和药物相互作用检测语义推荐系统的需求规范。通过对医院现有系统的观察、对医学专家的访谈、对问卷的分析,初步提取并详细描述了系统的主要功能和需求。然后,利用Protege对药物相互作用进行检测,为系统设计并实现相应的本体。使用Java开发了一个原型来评估药物推荐和药物相互作用检测的功能。与类似的药物处方和相互作用检测方法相比,在不同场景下评估了系统的性能。评价结果表明,该方法在药物处方和相互作用检测功能方面的性能都有所提高。这表明所提议的系统作为计算机化医生订购入口的好处。
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引用次数: 0
Health public crisis impact on non-life insurance: the case of COVID-19 卫生公共危机对非寿险的影响:以COVID-19为例
Pub Date : 1900-01-01 DOI: 10.1504/ijeh.2022.10048433
Marta Costa, Rui Gonçalves, R. Costa, L. Pereira, Á. Dias
The insurance industry plays a crucial role in developing a country’s economy, thus becoming one of the main focuses when studying the possible impacts of the current public health crisis. Accordingly, the main objective of this study is to investigate the COVID-19 impact on non-life insurance profitability of the Portuguese insurance sector. This study also intends to assess the explaining factors of insurance companies’ profitability on the period between 2004/2020. The methodology implemented was a multiple linear regression, using a panel data model with random effects. The sample consists of a total of 238 observations from 14 non-life insurers over 17 years. The results revealed that COVID-19 positively impacted the profitability of the insurance companies presented. However, this impact was only significant on the return on assets. Furthermore, the results showed an inverse and meaningful relationship between the profitability ratios and the variables leverage and loss ratio. Copyright © 2022 Inderscience Enterprises Ltd.
保险业在一个国家的经济发展中起着至关重要的作用,因此成为研究当前公共卫生危机可能影响的主要焦点之一。因此,本研究的主要目的是调查COVID-19对葡萄牙保险业非寿险盈利能力的影响。本研究还试图评估2004 - 2020年期间保险公司盈利能力的解释因素。实施的方法是多元线性回归,使用随机效应的面板数据模型。样本由14家非寿险公司17年来的238项观察结果组成。结果显示,COVID-19对保险公司的盈利能力产生了积极影响。然而,这种影响只对资产回报率有显著影响。此外,结果显示盈利能力比率与变量杠杆率和损失率之间存在负相关关系。版权所有©2022 Inderscience Enterprises Ltd。
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引用次数: 0
Internet of medical things and cloud enabled brain tumour diagnosis model using deep learning with kernel extreme learning machine 基于核极限学习机的深度学习的医疗物联网和云化脑肿瘤诊断模型
Pub Date : 1900-01-01 DOI: 10.1504/ijeh.2022.124490
M. Ganesan, N. Sivakumar, M. Thirumaran, T. Vengattaraman
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引用次数: 1
Predicting diabetes using Cohen's Kappa blending ensemble learning 使用Cohen’s Kappa混合集成学习预测糖尿病
Pub Date : 1900-01-01 DOI: 10.1504/ijeh.2023.10052670
Henrietta Adjei, B. Weyori, Owusu NYARKO BOATENG, Adebayo Felix Adekoya, Isaac Kofi Nti
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引用次数: 1
Broadening of horizons: a review of blockchains' influence on EHRs development trend 拓宽视野:回顾区块链对电子病历发展趋势的影响
Pub Date : 1900-01-01 DOI: 10.1504/ijeh.2023.130514
G. K. Babu, P. Thiyagarajan
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引用次数: 1
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Int. J. Electron. Heal.
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