Proceedings of the 12th International Conference on e-Health (EH2020)最新文献_第2页

PIPELINE FOR CONTROL OF THE DYNAMICS OF LOCALIZED BRAIN PATHOLOGIES IN MAGNETIC RESONANCE IMAGES 管道控制的动态局部脑病理在磁共振图像

Proceedings of the 12th International Conference on e-Health (EH2020) Pub Date : 2020-07-21 DOI: 10.33965/eh2020_202009l003

Artyom Lobantsev, G. Shovkoplias, Mark Tkachenko, Ksenia Morokova, Roman Soldatov, A. Zubanenko, A. Shalyto

{"title":"PIPELINE FOR CONTROL OF THE DYNAMICS OF LOCALIZED BRAIN PATHOLOGIES IN MAGNETIC RESONANCE IMAGES","authors":"Artyom Lobantsev, G. Shovkoplias, Mark Tkachenko, Ksenia Morokova, Roman Soldatov, A. Zubanenko, A. Shalyto","doi":"10.33965/eh2020_202009l003","DOIUrl":"https://doi.org/10.33965/eh2020_202009l003","url":null,"abstract":"A reliable assessment of changes in the dynamics of brain pathologies is primordial for accurate diagnostics, treatment and predicting the course of the disease. Magnetic resonance imaging (MRI) is the method of choice for it. In the paper, we explore the possibilities of semi-automatic control of the dynamics of localized brain pathologies in MRI. Using specific clinical examples, we investigated the sources of errors that accompany various methods for assessing the dynamics of the development of brain pathologies. We built a pipeline for semi-automatic control of the dynamics of these pathologies based on the Chan-Vese algorithm. The accuracy of estimating changes in the volume of pathological zones by proposed pipeline is comparable with the results obtained under idealized conditions of laboratory experiments. The proposed pipeline provides a significant gain in processing time and labor costs of radiologists is undemanding in computing resources and the availability of training datasets and can be easily implemented in real clinical practice.","PeriodicalId":393647,"journal":{"name":"Proceedings of the 12th International Conference on e-Health (EH2020)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125258092","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

DESIGNING THE VALUE PROPOSITION OF SYSTEMIC EHEALTH INNOVATION ISEREADOM CASE STUDY 设计系统医疗创新的价值主张是一个随机的案例研究

Proceedings of the 12th International Conference on e-Health (EH2020) Pub Date : 2020-07-21 DOI: 10.33965/eh2020_202009l001

Angela Martin, V. Chirié, Emmanuelle Chifflot

引用次数: 0

IS PRIVACY INSPIRED BY WELLBEING? A PRELIMINARY STUDY 隐私是由幸福激发的吗?初步研究

Proceedings of the 12th International Conference on e-Health (EH2020) Pub Date : 2020-07-21 DOI: 10.33965/eh2020_202009c028

Ana Ferreira, C. Jácome, R. Almeida, F. Lopes, J. Fonseca, P. Vieira-Marques

引用次数: 0

COMPUTER COMPETENCY AS AN INDICATOR OF HEALTHCARE INSTITUTION READINESS FOR HEALTH INFORMATION SYSTEMS: A STUDY IN BENGHAZI 计算机能力作为卫生保健机构准备卫生信息系统的指标:在班加西的一项研究

Proceedings of the 12th International Conference on e-Health (EH2020) Pub Date : 2020-07-21 DOI: 10.33965/eh2020_202009l014

Salah Awami

{"title":"COMPUTER COMPETENCY AS AN INDICATOR OF HEALTHCARE INSTITUTION READINESS FOR HEALTH INFORMATION SYSTEMS: A STUDY IN BENGHAZI","authors":"Salah Awami","doi":"10.33965/eh2020_202009l014","DOIUrl":"https://doi.org/10.33965/eh2020_202009l014","url":null,"abstract":"Background: Healthcare professionals' computer competency is one aspect of healthcare institutions' readiness assessment for the implementation and adoption of health information systems (HIS). Computer competent healthcare professionals normally have a positive attitude toward HIS which is considered to be an important facilitating factor for the implementation process. Aim: To discuss computer competency in healthcare and investigate computer competency of healthcare professionals in four healthcare institutions in Benghazi. Methods: The cross-section qualitative research administered a questionnaire to collect data from four healthcare institutions in Benghazi; aspects evaluated were related to computer use, understanding of IT concepts, and general attitudes toward computers. With a 69% response rate; 93 participants (physicians, nursing staff and public health practitioners) filled the questionnaire. Results: The majority of the participants think that computers could be useful for their work and that they have confidence in using them. 29% of the participants use computers at work and the same percentage have attended formal training in IT. Data entry could be a challenge for using computers, particularly among physicians. There is also a knowledge gap about important underlying IT concepts among healthcare professionals in these institutions. Conclusion: Healthcare professionals at these institutions are likely to have a positive attitude toward any future HIS implementations. Lack of use of computers at work, lack of formal IT training, and data entry challenges are some of the issues that need to be addressed before any realistic implementation can be considered.","PeriodicalId":393647,"journal":{"name":"Proceedings of the 12th International Conference on e-Health (EH2020)","volume":"269 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133781744","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

NAMED ENTITY RECOGNITION AND INFORMATION EXTRACTION FOR ARABIC MEDICAL TEXT 阿拉伯医学文本的命名实体识别和信息提取

Proceedings of the 12th International Conference on e-Health (EH2020) Pub Date : 2020-07-21 DOI: 10.33965/eh2020_202009l015

Jaafar Hammoud, N. Dobrenko, N. Gusarova

引用次数: 4

ACQUIRING BREATHING MOVEMENT AND HEART RATE FROM INERTIAL MEASUREMENT UNITS 从惯性测量单元获取呼吸运动和心率

Proceedings of the 12th International Conference on e-Health (EH2020) Pub Date : 2020-07-21 DOI: 10.33965/eh2020_202009p030

Martin Csongor László, Á. Tarcsi, Z. Istenes

引用次数: 0

DEVELOPING A REGIONAL SOLUTION TO DIGITAL TRANSFORMATION OF HEALTH CARE SERVICES: COLLABORATION, LEADERSHIP, AND TECHNOLOGICAL EXPERTISE 开发医疗保健服务数字化转型的区域解决方案:协作、领导和技术专长

Proceedings of the 12th International Conference on e-Health (EH2020) Pub Date : 2020-07-21 DOI: 10.33965/eh2020_202009l013

H. Corneliussen

{"title":"DEVELOPING A REGIONAL SOLUTION TO DIGITAL TRANSFORMATION OF HEALTH CARE SERVICES: COLLABORATION, LEADERSHIP, AND TECHNOLOGICAL EXPERTISE","authors":"H. Corneliussen","doi":"10.33965/eh2020_202009l013","DOIUrl":"https://doi.org/10.33965/eh2020_202009l013","url":null,"abstract":"This paper analyses a regional solution to digital transformation of health care services in Norway during the period 2014 to 2020. Facing the national health authorities' requirements for implementing welfare technology in public health care services, this rural region with its many small and medium-sized municipalities developed a unique framework for supporting this task across the small units. First, collaboration between organizations representing a wide set of competences, roles, and positions in the region and locally; second, a regional center responsible for developing health care services that – unlike other similar centers in Norway, took on a role to lead this work; and third, a regional emergency central originally developed for fire services taking on the role as the technical expert in the region. The analysis is based on documentation, project reports and interviews with participants from the project. While national guidelines for implementation of welfare technology have been important for motivating this work, many challenges were left for municipalities to solve, in particular the question pursued here: how should local and regional traditions be transformed to integrate technology in a sector and among professional groups that traditionally have not been associated with technology? The findings show that the regional model for collaboration supported the municipalities' health care services in this task by building on a regional model for cross-sectoral collaboration as well as regional trusted networks and channels of communication in unique ways in a national context.","PeriodicalId":393647,"journal":{"name":"Proceedings of the 12th International Conference on e-Health (EH2020)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126602085","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

WHAT BRINGS WOMEN INTO EHEALTH? WOMEN'S CAREER TRAJECTORIES IN DIGITAL TRANSFORMATIONS IN HEALTHCARE 是什么让女性进入了电子健康领域?医疗保健行业数字化转型中的女性职业轨迹

Proceedings of the 12th International Conference on e-Health (EH2020) Pub Date : 2020-07-21 DOI: 10.33965/eh2020_202009l009

Å. Cajander, H. Corneliussen, Gunilla Myreteg, Kari Dyb

{"title":"WHAT BRINGS WOMEN INTO EHEALTH? WOMEN'S CAREER TRAJECTORIES IN DIGITAL TRANSFORMATIONS IN HEALTHCARE","authors":"Å. Cajander, H. Corneliussen, Gunilla Myreteg, Kari Dyb","doi":"10.33965/eh2020_202009l009","DOIUrl":"https://doi.org/10.33965/eh2020_202009l009","url":null,"abstract":"Digital transformation of health care services is addressed world-wide in order to more efficiently meet the patients’ information and health care needs. However, little is known about the people working with this transformation, where two traditionally gendered fields meet; health care and IT. While work with digitalization generally is dominated by men, digitalization of health care services involves a large number of women. This case study explores the career trajectories of women working with the digital transformation of eHealth services. Who are the women in this eHealth project, and how did they come to working with this digital transformation? The analysis shows different types of trajectories that brought the women into eHealth transformations: The first illustrating women who were pushed into working with eHealth by their job descriptions, the second showing women using eHealth as an escape route from something else, and the last trajectory showing how women stumbled across eHealth and decided to stay on. This has implications for the educational system, and points to the need for being able to study computer science later in life. It also calls for a better understanding of what drives women in transformation processes.","PeriodicalId":393647,"journal":{"name":"Proceedings of the 12th International Conference on e-Health (EH2020)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132011557","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

APPLYING DEEP LEARNING METHODS TO THE AI EXPERT SYSTEM ON ALZHEIMER`S DISEASE FOR THE ELDERLY 将深度学习方法应用于老年阿尔茨海默病人工智能专家系统

Proceedings of the 12th International Conference on e-Health (EH2020) Pub Date : 2020-07-21 DOI: 10.33965/eh2020_202009l022

Chun-Yang Chang, You-Hsun Wu, Weiping Hong, Chien-Hsu Chen, Yang-Cheng Lin

{"title":"APPLYING DEEP LEARNING METHODS TO THE AI EXPERT SYSTEM ON ALZHEIMER`S DISEASE FOR THE ELDERLY","authors":"Chun-Yang Chang, You-Hsun Wu, Weiping Hong, Chien-Hsu Chen, Yang-Cheng Lin","doi":"10.33965/eh2020_202009l022","DOIUrl":"https://doi.org/10.33965/eh2020_202009l022","url":null,"abstract":"With the advent of an aging society, the number of people who are being afflicted with Alzheimer’s disease is also on a gradual rise. However, an effective medical treatment to contain the contraction of the disease still does not exist. There is a widespread lack of understanding about dementia among the general populace, and the amount of available research into early pathological prediction of Alzheimer's disease is also quite low. This study proposes a testing system to detect cases of dementia, which is designed to assist doctors in diagnosing the disease. The system can be applied to embedded devices and mobile devices in the hospital in the future to promote the development of artificial intelligence in the medical field and improve diagnosis efficiency. On the basis of minuscule size and a small number of parameters, lightweight convolutional neural networks can be deployed on devices with finite memory and computing without connecting any cloud platform to avoid the breach of image data and ensure the quality of its security. For this purpose, three common lightweight convolutional neural networks are used in this study — MobileNet V2, NASNetMobile, and ShuffleNet V2. In cases where the parameters are identical to those corresponding to other conditions, the Alzheimer's disease predictive identification is applied to use open-source magnetic resonance imaging (MRI) scans obtained from the Kaggle platform. The results of the study indicate that MobileNet V2 exhibits the highest prediction accuracy (80.78%). Additionally, the system proposed in this study can be integrated into physicians' workflows during the diagnosis of Alzheimer's disease, thereby making their medical judgments more accurate. It can, therefore, address the tedious and time-consuming nature of the current methods of diagnosis of the disease, improve the efficiency of the medical treatment of patients, and improve the possibility of early detection of the disease.","PeriodicalId":393647,"journal":{"name":"Proceedings of the 12th International Conference on e-Health (EH2020)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127423578","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

AIRDOC: SMART MOBILE APPLICATION FOR INDIVIDUALIZED SUPPORT AND MONITORING OF RESPIRATORY FUNCTION AND SOUNDS OF PATIENTS WITH CHRONIC OBSTRUCTIVE DISEASE Airdoc:为慢性阻塞性疾病患者的呼吸功能和声音提供个性化支持和监测的智能移动应用程序

Proceedings of the 12th International Conference on e-Health (EH2020) Pub Date : 2020-07-21 DOI: 10.33965/eh2020_202009l010

R. Almeida, C. Jácome, D. Martinho, P. Vieira-Marques, T. Jacinto, Ana Ferreira, Ana Almeida, C. Martins, Mariana Pereira, Ana Pereira, J. Valente, Rafael Almeida, Ana Vieira, R. Amaral, A. Sá-Sousa, Ivânia Gonçalves, P. Rodrigues, M. Alves-Correia, Alberto Freitas, G. Marreiros, S. Fonseca, A. Pereira, J. Fonseca

{"title":"AIRDOC: SMART MOBILE APPLICATION FOR INDIVIDUALIZED SUPPORT AND MONITORING OF RESPIRATORY FUNCTION AND SOUNDS OF PATIENTS WITH CHRONIC OBSTRUCTIVE DISEASE","authors":"R. Almeida, C. Jácome, D. Martinho, P. Vieira-Marques, T. Jacinto, Ana Ferreira, Ana Almeida, C. Martins, Mariana Pereira, Ana Pereira, J. Valente, Rafael Almeida, Ana Vieira, R. Amaral, A. Sá-Sousa, Ivânia Gonçalves, P. Rodrigues, M. Alves-Correia, Alberto Freitas, G. Marreiros, S. Fonseca, A. Pereira, J. Fonseca","doi":"10.33965/eh2020_202009l010","DOIUrl":"https://doi.org/10.33965/eh2020_202009l010","url":null,"abstract":"Current tools for self-management of chronic obstructive respiratory diseases (CORD) are difficult to use, not individualized and requiring laborious analysis by health professionals, discouraging their use in healthcare. There is an opportunity for cost-effective and easy-to-disseminate advanced technological solutions directed to patients and attractive to different stakeholders. The strategy of AIRDOC is to develop and integrate self-monitoring and self-managing tools, making use of the smartphone’s presence in everyday life. AIRDOC intends to innovate on: i) technologies for remote monitoring of respiratory function and computerized lung auscultation; ii) coaching solutions, integrating psychoeducation, gamification and disease management support systems; and iii) management of personal health data, focusing on security, privacy and interoperability. It is expected that AIRDOC results will contribute for the innovation in CORD healthcare, with increased patient involvement and empowerment while providing quality prospective information for better clinical decisions, allowing more efficient and sustainable healthcare delivery.","PeriodicalId":393647,"journal":{"name":"Proceedings of the 12th International Conference on e-Health (EH2020)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128818456","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3