2017 IEEE 30th International Symposium on Computer-Based Medical Systems (CBMS)最新文献_第9页

Ontological Templates for Regulating Access to Sensitive Medical Data in the Cloud 规范云中敏感医疗数据访问的本体模板

2017 IEEE 30th International Symposium on Computer-Based Medical Systems (CBMS) Pub Date : 2017-06-01 DOI: 10.1109/CBMS.2017.154

Simeon Veloudis, I. Paraskakis, Giannis Verginadis, Ioannis Patiniotakis, G. Mentzas

{"title":"Ontological Templates for Regulating Access to Sensitive Medical Data in the Cloud","authors":"Simeon Veloudis, I. Paraskakis, Giannis Verginadis, Ioannis Patiniotakis, G. Mentzas","doi":"10.1109/CBMS.2017.154","DOIUrl":"https://doi.org/10.1109/CBMS.2017.154","url":null,"abstract":"By embracing the cloud computing paradigm for storing and processing electronic medical records (EMRs), modern healthcare providers are able to realise significant cost savings. However, relinquishing control of sensitive medical data by delegating their storage and processing to third-party cloud providers naturally raises significant security concerns. One way to alleviate these concerns is to devise appropriate policies that infuse adequate access controls in cloud services. Nevertheless, the heterogeneous nature of these services, coupled with the dynamicity inherent in cloud environments, hinder the formulation of effective and interoperable policies that are appropriate for the underlying domain of application. To this end, this work adopts the ontological templates proposed in [5] for the representation of access control policies in the medical sector. By capturing the knowledge that must be infused into an access control policy, these templates sufficiently address the needs of the underlying domain of application in which such a policy is to be enforced; at the same time, they facilitate developers in infusing adequate access controls to their cloud applications.","PeriodicalId":141105,"journal":{"name":"2017 IEEE 30th International Symposium on Computer-Based Medical Systems (CBMS)","volume":"134 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116593591","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: 2

Are Elderly Less Responsive to Emotional Stimuli? An EEG-based Study across Pleasant, Unpleasant and Neutral Greek Words 老年人对情绪刺激的反应较差吗?基于脑电图的愉快、不愉快和中性希腊词研究

2017 IEEE 30th International Symposium on Computer-Based Medical Systems (CBMS) Pub Date : 2017-06-01 DOI: 10.1109/CBMS.2017.167

Ioanna Tepelena, C. Frantzidis, Vasiliki Salvari, L. Hadjileontiadis, P. Bamidis

引用次数: 0

A Differential Geometry Approach for Change Detection in Medical Images 医学图像变化检测的微分几何方法

2017 IEEE 30th International Symposium on Computer-Based Medical Systems (CBMS) Pub Date : 2017-06-01 DOI: 10.1109/CBMS.2017.110

Alexander Naitsat, Emil Saucan, Y. Zeevi

引用次数: 4

Implementation of Process-Oriented Feedback in a Clinical Reasoning Tool for Virtual Patients 面向过程的反馈在虚拟患者临床推理工具中的实现

2017 IEEE 30th International Symposium on Computer-Based Medical Systems (CBMS) Pub Date : 2017-06-01 DOI: 10.1109/CBMS.2017.76

Inga Hege, Andrzej A. Kononowicz, M. Nowakowski, M. Adler

引用次数: 3

A Simulation Environment for Active Endoscopic Capsules 主动内窥镜胶囊的模拟环境

2017 IEEE 30th International Symposium on Computer-Based Medical Systems (CBMS) Pub Date : 2017-06-01 DOI: 10.1109/CBMS.2017.109

Yasmeen Abu-Kheil, L. Seneviratne, J. Dias

引用次数: 1

Provisioning and Delivering Sepsis Data Supported by an Enhanced SDN Environment 由增强型SDN环境支持的败血症数据的供应和交付

2017 IEEE 30th International Symposium on Computer-Based Medical Systems (CBMS) Pub Date : 2017-06-01 DOI: 10.1109/CBMS.2017.58

F. Volpato, Madalena Pereira da Silva, A. Gonçalves, M. Castro, M. Dantas

引用次数: 0

Applied Technologies and Smart Home Applications in the Health Sector 卫生领域的应用技术和智能家居应用

2017 IEEE 30th International Symposium on Computer-Based Medical Systems (CBMS) Pub Date : 2017-06-01 DOI: 10.1109/CBMS.2017.48

N. Katsivelis, Athanasios Anastasiou, O. Petropoulou, G. Lambrou, K. Giokas, D. Koutsouris

引用次数: 5

Discovering Data Source Stability Patterns in Biomedical Repositories Based on Simplicial Projections from Probability Distribution Distances 基于概率分布距离的简单投影发现生物医学知识库中的数据源稳定性模式

2017 IEEE 30th International Symposium on Computer-Based Medical Systems (CBMS) Pub Date : 2017-06-01 DOI: 10.1109/CBMS.2017.153

Pablo Ferri Borreda, C. Sáez, J. M. García-Gómez

引用次数: 0

Discrimination of Preictal and Interictal Brain States from Long-Term EEG Data 从长期脑电图数据中区分前期和间期脑状态

2017 IEEE 30th International Symposium on Computer-Based Medical Systems (CBMS) Pub Date : 2017-06-01 DOI: 10.1109/CBMS.2017.33

Kostas M. Tsiouris, V. Pezoulas, D. Koutsouris, M. Zervakis, D. Fotiadis

{"title":"Discrimination of Preictal and Interictal Brain States from Long-Term EEG Data","authors":"Kostas M. Tsiouris, V. Pezoulas, D. Koutsouris, M. Zervakis, D. Fotiadis","doi":"10.1109/CBMS.2017.33","DOIUrl":"https://doi.org/10.1109/CBMS.2017.33","url":null,"abstract":"The discrimination of the preictal state in EEG signals is of great importance in neuroscience and the epileptic seizure prediction field has yet to provide conclusive evidence. In this study, three different classification approaches, including the Repeated Incremental Pruning to Produce Error Reduction (RIPPER) algorithm, Support Vector Machines (SVMs) and Neural Networks (NNs), are investigated for their ability to discriminate preictal from interictal EEG segments. Using public EEG data, a wide range of features is extracted from each segment and then applied to the classifiers. The analysis covers a patient-specific approach, so as to optimize the decision to each patient individually and a patient-independent approach in order to explore a global prediction approach that can discriminate randomly selected preictal and interictal segments from all patients. Overall, the first approach aims at revealing patient-specific epileptic characteristics, whereas the second seeks for potential general preictal-related signs. The results reveal that in the patient-specific case, the SVM classifier exhibits the highest classification accuracy in both preictal and interictal classes reaching 85.75% sensitivity and specificity. As it is expected, the classification performance is lower for the patient-independent case at 68.5%, due to the complicated nature of preictal activity and the variations among patients condition.","PeriodicalId":141105,"journal":{"name":"2017 IEEE 30th International Symposium on Computer-Based Medical Systems (CBMS)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128641133","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: 28

Quality of Information About Physical Activity in Breast Cancer Facebook Pages: A Preliminary Content Review 关于乳腺癌Facebook页面中身体活动的信息质量:初步内容回顾

2017 IEEE 30th International Symposium on Computer-Based Medical Systems (CBMS) Pub Date : 2017-06-01 DOI: 10.1109/CBMS.2017.159

G. Signorelli, Matilde M. Fernandez, Francisco M. M. Guerra, L. Fernández-Luque, B. Caulfield

{"title":"Quality of Information About Physical Activity in Breast Cancer Facebook Pages: A Preliminary Content Review","authors":"G. Signorelli, Matilde M. Fernandez, Francisco M. M. Guerra, L. Fernández-Luque, B. Caulfield","doi":"10.1109/CBMS.2017.159","DOIUrl":"https://doi.org/10.1109/CBMS.2017.159","url":null,"abstract":"In this study, we focused on posting frequency and quality of exercise and physical activity content in Facebook. We sought to (1) explore the frequency of exercise and physical activity topics posted on specialized Breast Cancer channels and (2) evaluate the quality of these information. Evaluations of informations quality were performed independently by two sports and exercise experts, with previous breast cancer physical activity experience, using the DISCERN instrument. Despite of almost one hundred Facebook pages about Breast Cancer, only six are explicitly dedicated to physical activity and exercise and those pages do not have a significant numbers of likes. It shows that there is no specialized and focused serious initiative on Facebook looking for improve Breast Cancer educational levels about exercise and motivating them to engage in a physical activity lifestyle. There are very few, and low quality posts about exercise and physical activity for breast cancer showing that less importance tan it need has been given to this topic.","PeriodicalId":141105,"journal":{"name":"2017 IEEE 30th International Symposium on Computer-Based Medical Systems (CBMS)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133473985","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: 1