International Journal of Healthcare Information Systems and Informatics最新文献

英文中文

GIS-based Flood Risk Assessment in the Urban Catchment of Uyo Metropolis, Nigeria 基于gis的尼日利亚Uyo大都市城市集水区洪水风险评估

IF 1.1 Q2 Decision Sciences

International Journal of Healthcare Information Systems and Informatics

Pub Date : 2022-01-22 DOI: 10.47747/ijisi.v2i4.568

Dickson Kinikawo Nsiegbe, V. Weli, G. O. Chukwu-Okeah, Olatunde S Eludovin

Flood occurs as a result of rising global temperatures, more precipitation, increased runoff, and an increase in the rate of urban flooding. The goal of this research is to calculate the flood risk assessment of a selected urban catchment in the Nigerian metropolis of Uyo. Secondary data were obtained from Landsat images of the study area using a correlational research design. Using supervised categorization of landuse in the area, the watershed pattern, landuse/landcover, and inundation level were determined using the area's Digital Elevation Model. The study also used a GIS-assisted computer simulation of storm water created by enhanced DEM to assess storm water level and inundation as a function of landuse/landcover change. Storm water generation assessment, inundation modeling, assessment of land cover and level of inundation, and evaluation of flash flood susceptibility using modeled inundation were among the hydrological models and techniques used to analyze the data. The findings revealed that Uyo has a number of streams with varying flow lengths. Uyo has 21 sub-basins, according to the study. In uyo, the total runoff was greater (0.74) inches. In Uyo, the rate of change in catchment behavior, such as catchment precipitation, node flooding, and runoff, increased with the time of day, whereas the rate of change in runoff volume varied somewhat. The hydrograph was not wider because the sections of Uyo metropolitan that were prone to moderate and high floods were higher (78.03 percent ). Based on these findings, the study suggests that better city design is needed to control the impact of flooding in the study area. To prevent the loss of life and property, areas prone to moderate and high flood vulnerability should be closely monitored and secured.

洪水的发生是全球气温上升、降水增加、径流增加以及城市洪水发生率增加的结果。本研究的目的是计算尼日利亚大都市Uyo选定的城市集水区的洪水风险评估。二级数据采用相关研究设计从研究区域的Landsat图像中获得。利用该地区的土地利用监督分类，利用该地区的数字高程模型确定了流域格局、土地利用/土地覆盖和淹没水平。该研究还使用gis辅助的计算机模拟暴雨水，通过增强的DEM来评估暴雨水位和淹没作为土地利用/土地覆盖变化的函数。用于分析数据的水文模型和技术包括暴雨产水评估、淹没模拟、土地覆盖和淹没水平评估以及利用模拟淹没评估山洪易感性。研究结果表明，Uyo有许多不同长度的溪流。根据这项研究，尤约有21个子盆地。在尤尤，总径流量更大(0.74英寸)。在Uyo，集水区降水、节点洪水和径流等集水区行为的变化率随着一天中的时间而增加，而径流量的变化率则有所不同。水文线没有变宽，是因为首都圈中、高洪涝灾害发生率较高(78.03%)。基于这些发现，研究表明需要更好的城市设计来控制研究区域的洪水影响。为防止生命和财产损失，应密切监测易受中高洪水影响的地区，并确保其安全。

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引用次数: 0

A Fuzzy Knowledge-Based Approach for End-2-End Behavioural Analysis of Wormhole Attacks on Mobile Ad-Hoc Networks 基于模糊知识的移动自组织网络虫洞攻击端到端行为分析方法

IF 1.1 Q2 Decision Sciences

International Journal of Healthcare Information Systems and Informatics

Pub Date : 2022-01-22 DOI: 10.47747/ijisi.v2i4.581

Imeh J. Umoren, Ekemini Okpongkpong, Ifreke Udoeka

Mobile Ad hoc Networks (MANETs) involves series of travelling nodes communicating with each other without a fixed Set-up. Certainly, MANETs are networks that utilize communication peripatetic nodes such as; Personal Digital Assistants (PDAs), mobile phones, laptops which enable wireless transmission across an area and forwarding data packets to the other nodes resulting in frequent change in topology. MANETs are exposed to several communication assaults such as active attack and passive attack. The active attack disrupts network operations while the passive attack obtains information without upsetting normal networks operation. Wormhole is a typical case of active attack. Indeed, an attacker receives packets at one end of the network, tunnels them to another end of the network, and then replays them into the networks from that point resulting in a collapse in communication across wireless setups. This research work simulates and models a typical wormhole attack in MANET using Network Simulator (NS-2.35) and Fuzzy Inference System (FIS). The End-2-End behavioural analysis of wormhole attacks on the transmitting networks layer of MANET was realized. To detect the level of wormhole attack in the network several parameters such as Packet Delivery Ratio, Packet Forwarding Probability and Packet Dropping Probability were considered by determining the degree of severity of wormhole attack which may upset the Quality of Service (QOS) delivery. The aim of this research paper is in the direction of Network security optimization.

移动自组织网络(manet)是由一系列移动节点组成的网络，在没有固定设置的情况下相互通信。当然，manet是利用通信外围节点的网络，例如;个人数字助理(pda)、移动电话、笔记本电脑，它们可以实现跨区域的无线传输，并将数据包转发到其他节点，从而导致拓扑结构的频繁变化。manet面临多种通信攻击，如主动攻击和被动攻击。主动攻击是指中断网络的正常运行，而被动攻击是指在不影响网络正常运行的情况下获取信息。虫洞是主动攻击的典型案例。实际上，攻击者在网络的一端接收数据包，通过隧道将其传输到网络的另一端，然后从该点将其重放到网络中，从而导致无线设置之间的通信崩溃。本研究利用网络模拟器(NS-2.35)和模糊推理系统(FIS)对MANET中典型的虫洞攻击进行了仿真和建模。实现了MANET传输网络层虫洞攻击的端到端行为分析。为了检测网络中虫洞攻击的程度，通过确定可能影响服务质量(QOS)交付的虫洞攻击的严重程度，考虑了报文投递率、报文转发概率和丢包概率等参数。本文的研究方向是网络安全优化。

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引用次数: 1

Design and Study of Mountaineering Wear Based on Nano Antibacterial Technology and Prediction Model 基于纳米抗菌技术的登山服设计与研究及预测模型

IF 1.1 Q2 Decision Sciences

International Journal of Healthcare Information Systems and Informatics

Pub Date : 2022-01-01 DOI: 10.4018/ijhisi.315631

Chun-feng Xia, Jiang Wu, W. Wang

In order to improve function of mountaineering wear to promote the development of outer mountaineering wear industry, nano antibacterial technology is applied to make mountaineering wear. Firstly, the antibacterial properties of nano materials are discussed. Secondly, the antibacterial performance experiment of nano Ag ion is design, and experimental results show that the antibacterial performance of nano Ag ion, and nano Ag ion has better antibacterial effect on staphylococcus aureus, Escherichia coli, and candida albicans. Thirdly, the antibacterial performance prediction model of nano materials is constructed based on wavelet neural network, and then the training algorithm is designed. Finally, the prediction simulation analysis of antibacterial performance of nano Ag ion in moutaineering wear is carried out, results show that the wavelet neural network has good prediction effect, prediction results from wavelet neural network are agreed with real values, therefore the wavelet neural network has higher prediction precision.

为了提高登山服的功能，促进户外登山服产业的发展，应用纳米抗菌技术制作登山服。首先，讨论了纳米材料的抗菌性能。其次，设计了纳米银离子的抗菌性能实验，实验结果表明，纳米银离子和纳米银离子对金黄色葡萄球菌、大肠杆菌和白色念珠菌具有较好的抗菌效果。再次，基于小波神经网络构建了纳米材料抗菌性能预测模型，并设计了训练算法。最后，对纳米Ag离子在运动磨损中的抗菌性能进行了预测仿真分析，结果表明小波神经网络具有良好的预测效果，小波神经网络的预测结果与实际值一致，具有较高的预测精度。

引用次数: 0

Doctor Resistance of Artificial Intelligence in Healthcare 医疗保健中人工智能的医生阻力

IF 1.1 Q2 Decision Sciences

International Journal of Healthcare Information Systems and Informatics

Pub Date : 2022-01-01 DOI: 10.4018/ijhisi.315618

Asma Chaibi, I. Zaiem

Artificial intelligence (AI) has revolutionized healthcare by enhancing the quality of patient care. Despite its advantages, doctors are still reluctant to use AI in healthcare. Thus, the authors' main objective is to obtain an in-depth understanding of the barriers to doctors' adoption of AI in healthcare. The authors conducted semi-structured interviews with 11 doctors. Thematic analysis as chosen to identify patterns using QSR NVivo (version 12). The results showed that the barriers to AI adoption are lack of financial resources, need for special training, performance risk, perceived cost, technology dependency, need for human interaction, and fear of AI replacing human work.

人工智能(AI)通过提高患者护理质量，彻底改变了医疗保健行业。尽管人工智能有很多优势，但医生们仍然不愿意在医疗领域使用人工智能。因此，作者的主要目标是深入了解医生在医疗保健中采用人工智能的障碍。作者对11位医生进行了半结构化访谈。选择主题分析来识别使用QSR NVivo(版本12)的模式。结果显示，采用人工智能的障碍是缺乏财政资源、需要特殊培训、绩效风险、感知成本、技术依赖、需要人际互动以及害怕人工智能取代人类工作。

引用次数: 0

Handwritten Hindi Character Recognition Using Layer-Wise Training of Deep Convolutional Neural Networks 使用深度卷积神经网络分层训练的手写印地语字符识别

IF 1.1 Q2 Decision Sciences

International Journal of Healthcare Information Systems and Informatics

Pub Date : 2020-10-14 DOI: 10.47747/ijisi.v1i1.77

Abhishek Mehta, S. Desai, A. Chaturvedi

Manually written character acknowledgment is as of now getting the consideration of scientists in view of potential applications in helping innovation for dazzle and outwardly hindered clients, human–robot collaboration, programmed information passage for business reports, and so on. In this work, we propose a strategy to perceive transcribed Devanagari characters utilizing profound convolutional neural organizations (DCNN) which are one of the ongoing procedures embraced from the profound learning network. We tested the ISIDCHAR information base gave by (Information Sharing Index) ISI, Kolkata and V2DMDCHAR information base with six distinct structures of DCNN to assess the exhibition and furthermore research the utilization of six as of late created versatile inclination strategies. A layer-wise method of DCNN has been utilized that assisted with accomplishing the most noteworthy acknowledgment exactness and furthermore get a quicker union rate. The consequences of layer-wise-prepared DCNN are great in correlation with those accomplished by a shallow strategy of high quality highlights and standard DCNN

目前，人工书写的字符识别技术正受到科学家们的关注，因为它有可能应用于帮助眼花缭乱的客户创新、人机协作、商业报告的程序化信息通道等方面。在这项工作中，我们提出了一种策略，利用深度卷积神经组织(DCNN)来感知转录的Devanagari字符，这是深度学习网络中正在进行的程序之一。我们对ISI (information Sharing Index)提供的ISIDCHAR信息库、Kolkata信息库和V2DMDCHAR信息库与DCNN的六种不同结构进行了测试，以评估展览，并进一步研究了最近创建的六种多功能倾斜策略的使用情况。采用了一种分层的DCNN方法，使识别准确率达到最高，并获得了更快的结合率。分层制备DCNN的结果与高质量高光和标准DCNN的浅层策略的结果有很大的相关性

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引用次数: 0

Influential Factors in Breast Cancer Patients' Performance Using Malaysian Social Network Support Groups 马来西亚社会网络支持团体对乳腺癌患者表现的影响因素

IF 1.1 Q2 Decision Sciences

International Journal of Healthcare Information Systems and Informatics

Pub Date : 2019-10-01 DOI: 10.4018/ijhisi.2019100105

M. Mirabolghasemi, N. A. Iahad, Thurasamy Ramayah

Social network communities can serve as a health resource for cancer patients to share and disseminate information. Even so, theory-based research into evaluating cancer patients' performance empirically using social network sites (SNSs) is limited, representing an identifiable knowledge gap. This study proposes a research model that integrates social cognitive theory and task technology fit theory to contribute to the understanding of key factors impacting the performance of breast cancer patients using SNSs. Data were collected via a structured paper-based questionnaire. A total of one hundred seventy-eight (178) participants from six cancer support groups and hospitals in Peninsular Malaysia responded to the administered survey. Survey data were analyzed using the partial least squares (PLS) method while Smart PLS was used to test the hypotheses and to validate the proposed model. Results indicate that outcome expectation, self-efficacy, negative affect, positive affect, social support and task technology fit are significant factors affecting the performance of breast cancer patients vis-à-vis Malaysian social network support groups.

社交网络社区可以作为癌症患者分享和传播信息的健康资源。即便如此，以理论为基础的利用社交网站(sns)实证评估癌症患者表现的研究还是有限的，这代表着一个明显的知识缺口。本研究提出了一个整合社会认知理论和任务技术契合理论的研究模型，有助于理解影响乳腺癌患者社交媒体使用表现的关键因素。数据通过结构化的纸质问卷收集。来自马来西亚半岛六个癌症支持团体和医院的178名参与者对这项管理调查作出了回应。使用偏最小二乘(PLS)方法分析调查数据，而使用智能PLS来检验假设并验证所提出的模型。结果表明，结果期望、自我效能感、消极影响、积极影响、社会支持和任务技术契合度是影响乳腺癌患者在-à-vis马来西亚社交网络支持团体中的表现的显著因素。

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引用次数: 0

Utilizing Combined Claims and Clinical Datasets for Research Among Potential Cases of Rare Diseases. 利用联合索赔和临床数据集研究罕见病的潜在病例。

IF 1.1 Q2 Decision Sciences

International Journal of Healthcare Information Systems and Informatics

Pub Date : 2018-01-01 DOI: 10.4018/ijhisi.2018040101

Kevin J Bennett, Joshua Mann, Lijing Ouyang

With data quality issues with administrative claims and medically derived datasets, a dataset derived from a combination of sources may be more effective for research. The purposes of this article is to link an EMR-based data warehouse with state administrative data to study individuals with rare diseases; to describe and compare their characteristics; and to explore research with the data. These methods included subjects with diagnosis codes for one of three rare diseases from the years 2009-2014; Spina Bifida, Muscular Dystrophy, and Fragile X Syndrome. The results from the combined data provides additional information that each dataset, by itself, would not contain. The simultaneous examination of data such as race/ethnicity, physician and other outpatient visit data, charges and payments, and overall utilization was possible in the combined dataset. It is also discussed that combining such datasets can be a useful tool for the study of populations with rare diseases.

考虑到行政索赔和医学衍生数据集的数据质量问题，从多种来源组合衍生的数据集可能更有效地用于研究。本文的目的是将基于电子病历的数据仓库与国家管理数据联系起来，以研究罕见病个体;描述:描述和比较它们的特征;并利用数据探索研究。这些方法纳入2009-2014年间具有三种罕见病诊断代码之一的受试者;脊柱裂、肌肉萎缩症和脆性X综合征。组合数据的结果提供了每个数据集本身不包含的附加信息。在合并的数据集中，可以同时检查种族/民族、医生和其他门诊就诊数据、收费和支付以及总体利用率等数据。还讨论了将这些数据集结合起来可以成为研究罕见疾病人群的有用工具。

引用次数: 8

Critical Success Factors in Electronic Health Records (EHR) Implementation 电子健康记录(EHR)实施中的关键成功因素

IF 1.1 Q2 Decision Sciences

International Journal of Healthcare Information Systems and Informatics

Pub Date : 2017-04-01 DOI: 10.4018/978-1-5225-9863-3.ch013

BajwaNavneet Kaur, SinghHarjot, D. Kumar

Electronic Health Records EHR has been the subject of much academic discussion in recent times. The impact that a successful implementation of EHR can have on a hospital cannot be overstated. Facto...

近年来，电子健康记录(EHR)一直是学术界讨论的主题。成功实施电子病历对医院的影响怎么强调都不为过。事实上……

引用次数: 0

Development and Psychometric Qualities of the SEIPS Survey to Evaluate CPOE/EHR Implementation in ICUs. 用于评估重症监护室 CPOE/EHR 实施情况的 SEIPS 调查的开发和心理测量质量。

IF 1.1 Q2 Decision Sciences

International Journal of Healthcare Information Systems and Informatics

Pub Date : 2011-01-01 DOI: 10.4018/jhisi.2011010104

Peter L T Hoonakker, Randi S Cartmill, Pascale Carayon, James M Walker

Health Information Technology (IT) implementation can fail or meet high levels of user resistance for a variety of reasons, including lack of attention to users' needs and the significant workflow changes induced and required by the technology. End-user satisfaction is a critical factor in health IT implementation. In this paper we describe the process of developing and testing a questionnaire to evaluate health IT implementation, in particular Computerized Provider Order Entry (CPOE) and Electronic Health Record (EHR) technologies. Results showed evidence for the validity and reliability of the questionnaire. The Systems Engineering Initiative for Patient Safety (SEIPS) questionnaire is relatively easy to administer and allows researchers to evaluate different aspects of health IT implementation. Results of this research can be used for benchmarking results of future studies evaluating health IT implementation.

医疗信息技术（IT）的实施可能会失败或遇到用户的强烈抵制，原因有很多，包括缺乏对用户需求的关注，以及技术所引起和要求的工作流程的重大改变。最终用户满意度是医疗信息技术实施过程中的一个关键因素。在本文中，我们介绍了开发和测试问卷的过程，以评估医疗信息技术的实施情况，特别是计算机化医嘱输入（CPOE）和电子病历（EHR）技术。结果表明了问卷的有效性和可靠性。患者安全系统工程倡议（SEIPS）调查问卷相对容易实施，研究人员可以对医疗信息技术实施的不同方面进行评估。这项研究的结果可用于未来评估医疗信息技术实施情况研究的基准结果。

引用次数: 0

Content-Based Image Retrieval in Medicine: Retrospective Assessment, State of the Art, and Future Directions. 医学中基于内容的图像检索:回顾评估、技术现状和未来方向。

IF 1.1 Q2 Decision Sciences

International Journal of Healthcare Information Systems and Informatics

Pub Date : 2009-01-01 DOI: 10.4018/jhisi.2009010101

L Rodney Long, Sameer Antani, Thomas M Deserno, George R Thoma

Content-based image retrieval (CBIR) technology has been proposed to benefit not only the management of increasingly large image collections, but also to aid clinical care, biomedical research, and education. Based on a literature review, we conclude that there is widespread enthusiasm for CBIR in the engineering research community, but the application of this technology to solve practical medical problems is a goal yet to be realized. Furthermore, we highlight "gaps" between desired CBIR system functionality and what has been achieved to date, present for illustration a comparative analysis of four state-of-the-art CBIR implementations using the gap approach, and suggest that high-priority gaps to be overcome lie in CBIR interfaces and functionality that better serve the clinical and biomedical research communities.

基于内容的图像检索(CBIR)技术不仅有利于管理日益庞大的图像集，而且有助于临床护理、生物医学研究和教育。通过文献综述，我们得出结论，在工程研究界对CBIR有着广泛的热情，但将该技术应用于解决实际医学问题是一个尚未实现的目标。此外，我们强调了期望的CBIR系统功能与迄今为止取得的成果之间的“差距”，使用差距方法对四种最先进的CBIR实现进行了比较分析，并提出需要克服的高优先级差距在于CBIR接口和功能，以便更好地服务于临床和生物医学研究界。

引用次数: 80

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全部化学•材料生命科学医学物理工程技术环境•农林材料科学地球科学法学管理学化学环境科学与生态学计算机科学教育学经济学农林科学人文科学生物学数学物理与天体物理心理学综合性期刊其他工业工程理学历史学农学文学信息工程

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