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Journal of Healthcare Informatics Research最新文献

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Dilated Recurrent Neural Networks for Glucose Forecasting in Type 1 Diabetes 用于1型糖尿病血糖预测的扩张递归神经网络
IF 5.9
Journal of Healthcare Informatics Research Pub Date : 2020-04-12 DOI: 10.1007/s41666-020-00068-2
Taiyu Zhu, Kezhi Li, Jianwei Chen, P. Herrero, P. Georgiou
{"title":"Dilated Recurrent Neural Networks for Glucose Forecasting in Type 1 Diabetes","authors":"Taiyu Zhu, Kezhi Li, Jianwei Chen, P. Herrero, P. Georgiou","doi":"10.1007/s41666-020-00068-2","DOIUrl":"https://doi.org/10.1007/s41666-020-00068-2","url":null,"abstract":"","PeriodicalId":36444,"journal":{"name":"Journal of Healthcare Informatics Research","volume":"4 1","pages":"308 - 324"},"PeriodicalIF":5.9,"publicationDate":"2020-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s41666-020-00068-2","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44218210","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: 58
Affect Estimation with Wearable Sensors 基于可穿戴传感器的影响估计
IF 5.9
Journal of Healthcare Informatics Research Pub Date : 2020-03-11 DOI: 10.1007/s41666-019-00066-z
Shen Yan, Homa Hosseinmardi, Hsien-Te Kao, Shrikanth S. Narayanan, Kristina Lerman, Emilio Ferrara
{"title":"Affect Estimation with Wearable Sensors","authors":"Shen Yan, Homa Hosseinmardi, Hsien-Te Kao, Shrikanth S. Narayanan, Kristina Lerman, Emilio Ferrara","doi":"10.1007/s41666-019-00066-z","DOIUrl":"https://doi.org/10.1007/s41666-019-00066-z","url":null,"abstract":"","PeriodicalId":36444,"journal":{"name":"Journal of Healthcare Informatics Research","volume":"4 1","pages":"261 - 294"},"PeriodicalIF":5.9,"publicationDate":"2020-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s41666-019-00066-z","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"53225107","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: 6
A Combined Interpolation and Weighted K-Nearest Neighbours Approach for the Imputation of Longitudinal ICU Laboratory Data ICU实验室纵向数据的插值和加权K-近邻组合方法
IF 5.9
Journal of Healthcare Informatics Research Pub Date : 2020-03-02 DOI: 10.1007/s41666-020-00069-1
Sebastian Daberdaku, E. Tavazzi, B. Di Camillo
{"title":"A Combined Interpolation and Weighted K-Nearest Neighbours Approach for the Imputation of Longitudinal ICU Laboratory Data","authors":"Sebastian Daberdaku, E. Tavazzi, B. Di Camillo","doi":"10.1007/s41666-020-00069-1","DOIUrl":"https://doi.org/10.1007/s41666-020-00069-1","url":null,"abstract":"","PeriodicalId":36444,"journal":{"name":"Journal of Healthcare Informatics Research","volume":"4 1","pages":"174 - 188"},"PeriodicalIF":5.9,"publicationDate":"2020-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s41666-020-00069-1","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43945220","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: 13
Applying Bidirectional Transformations to the Design of Interoperable EMR Systems 双向转换在互操作EMR系统设计中的应用
IF 5.9
Journal of Healthcare Informatics Research Pub Date : 2020-01-22 DOI: 10.1007/s41666-019-00065-0
J. Weber, J. Ho
{"title":"Applying Bidirectional Transformations to the Design of Interoperable EMR Systems","authors":"J. Weber, J. Ho","doi":"10.1007/s41666-019-00065-0","DOIUrl":"https://doi.org/10.1007/s41666-019-00065-0","url":null,"abstract":"","PeriodicalId":36444,"journal":{"name":"Journal of Healthcare Informatics Research","volume":"4 1","pages":"138 - 150"},"PeriodicalIF":5.9,"publicationDate":"2020-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s41666-019-00065-0","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"53225032","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
Editor's Note: Journal of Healthcare Informatics Research and COVID-19 Research. 编者注:卫生保健信息学研究和COVID-19研究杂志。
IF 5.9
Journal of Healthcare Informatics Research Pub Date : 2020-01-01 Epub Date: 2020-06-08 DOI: 10.1007/s41666-020-00074-4
{"title":"Editor's Note: <i>Journal of Healthcare Informatics Research</i> and COVID-19 Research.","authors":"","doi":"10.1007/s41666-020-00074-4","DOIUrl":"https://doi.org/10.1007/s41666-020-00074-4","url":null,"abstract":"","PeriodicalId":36444,"journal":{"name":"Journal of Healthcare Informatics Research","volume":"4 2","pages":"111"},"PeriodicalIF":5.9,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s41666-020-00074-4","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38399058","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Internet of Things for Current COVID-19 and Future Pandemics: an Exploratory Study. 当前COVID-19和未来大流行的物联网:一项探索性研究。
IF 5.9
Journal of Healthcare Informatics Research Pub Date : 2020-01-01 Epub Date: 2020-11-12 DOI: 10.1007/s41666-020-00080-6
Mohammad Nasajpour, Seyedamin Pouriyeh, Reza M Parizi, Mohsen Dorodchi, Maria Valero, Hamid R Arabnia
{"title":"Internet of Things for Current COVID-19 and Future Pandemics: an Exploratory Study.","authors":"Mohammad Nasajpour,&nbsp;Seyedamin Pouriyeh,&nbsp;Reza M Parizi,&nbsp;Mohsen Dorodchi,&nbsp;Maria Valero,&nbsp;Hamid R Arabnia","doi":"10.1007/s41666-020-00080-6","DOIUrl":"https://doi.org/10.1007/s41666-020-00080-6","url":null,"abstract":"<p><p>In recent years, the Internet of Things (IoT) has gained convincing research ground as a new research topic in a wide variety of academic and industrial disciplines, especially in healthcare. The IoT revolution is reshaping modern healthcare systems by incorporating technological, economic, and social prospects. It is evolving healthcare systems from conventional to more personalized healthcare systems through which patients can be diagnosed, treated, and monitored more easily. The current global challenge of the pandemic caused by the novel severe respiratory syndrome coronavirus 2 presents the greatest global public health crisis since the pandemic influenza outbreak of 1918. At the time this paper was written, the number of diagnosed COVID-19 cases around the world had reached more than 31 million. Since the pandemic started, there has been a rapid effort in different research communities to exploit a wide variety of technologies to combat this worldwide threat, and IoT technology is one of the pioneers in this area. In the context of COVID-19, IoT-enabled/linked devices/applications are utilized to lower the possible spread of COVID-19 to others by early diagnosis, monitoring patients, and practicing defined protocols after patient recovery. This paper surveys the role of IoT-based technologies in COVID-19 and reviews the state-of-the-art architectures, platforms, applications, and industrial IoT-based solutions combating COVID-19 in three main phases, including early diagnosis, quarantine time, and after recovery.</p>","PeriodicalId":36444,"journal":{"name":"Journal of Healthcare Informatics Research","volume":"4 4","pages":"325-364"},"PeriodicalIF":5.9,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s41666-020-00080-6","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38613633","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 196
DeepFall: Non-Invasive Fall Detection with Deep Spatio-Temporal Convolutional Autoencoders DeepFall:基于深度时空卷积自编码器的无创跌倒检测
IF 5.9
Journal of Healthcare Informatics Research Pub Date : 2019-12-18 DOI: 10.1007/s41666-019-00061-4
Jacob Nogas, Shehroz S. Khan, Alex Mihailidis
{"title":"DeepFall: Non-Invasive Fall Detection with Deep Spatio-Temporal Convolutional Autoencoders","authors":"Jacob Nogas, Shehroz S. Khan, Alex Mihailidis","doi":"10.1007/s41666-019-00061-4","DOIUrl":"https://doi.org/10.1007/s41666-019-00061-4","url":null,"abstract":"","PeriodicalId":36444,"journal":{"name":"Journal of Healthcare Informatics Research","volume":"4 1","pages":"50 - 70"},"PeriodicalIF":5.9,"publicationDate":"2019-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s41666-019-00061-4","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"53224940","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: 53
Transfer Learning for Clinical Time Series Analysis Using Deep Neural Networks. 应用深度神经网络进行临床时间序列分析的迁移学习
IF 5.9
Journal of Healthcare Informatics Research Pub Date : 2019-12-13 eCollection Date: 2020-06-01 DOI: 10.1007/s41666-019-00062-3
Priyanka Gupta, Pankaj Malhotra, Jyoti Narwariya, Lovekesh Vig, Gautam Shroff
{"title":"Transfer Learning for Clinical Time Series Analysis Using Deep Neural Networks.","authors":"Priyanka Gupta, Pankaj Malhotra, Jyoti Narwariya, Lovekesh Vig, Gautam Shroff","doi":"10.1007/s41666-019-00062-3","DOIUrl":"10.1007/s41666-019-00062-3","url":null,"abstract":"","PeriodicalId":36444,"journal":{"name":"Journal of Healthcare Informatics Research","volume":"4 1","pages":"112-137"},"PeriodicalIF":5.9,"publicationDate":"2019-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8982827/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48476858","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
longSil: an Evaluation Metric to Assess Quality of Clustering Longitudinal Clinical Data longSil:一种评价聚类纵向临床数据质量的评价指标
IF 5.9
Journal of Healthcare Informatics Research Pub Date : 2019-11-19 DOI: 10.1007/s41666-019-00058-z
D. Luong, Prerna Singh, Mahin Ramezani, V. Chandola
{"title":"longSil: an Evaluation Metric to Assess Quality of Clustering Longitudinal Clinical Data","authors":"D. Luong, Prerna Singh, Mahin Ramezani, V. Chandola","doi":"10.1007/s41666-019-00058-z","DOIUrl":"https://doi.org/10.1007/s41666-019-00058-z","url":null,"abstract":"","PeriodicalId":36444,"journal":{"name":"Journal of Healthcare Informatics Research","volume":"3 1","pages":"441 - 459"},"PeriodicalIF":5.9,"publicationDate":"2019-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s41666-019-00058-z","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44768284","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
An Interactive Visualization Tool for HL7 FHIR Specification Browsing and Profiling. 用于 HL7 FHIR 规范浏览和剖析的交互式可视化工具。
IF 5.9
Journal of Healthcare Informatics Research Pub Date : 2019-09-01 Epub Date: 2019-01-10 DOI: 10.1007/s41666-018-0043-8
Na Hong, Kui Wang, Sizhu Wu, Feichen Shen, Lixia Yao, Guoqian Jiang
{"title":"An Interactive Visualization Tool for HL7 FHIR Specification Browsing and Profiling.","authors":"Na Hong, Kui Wang, Sizhu Wu, Feichen Shen, Lixia Yao, Guoqian Jiang","doi":"10.1007/s41666-018-0043-8","DOIUrl":"10.1007/s41666-018-0043-8","url":null,"abstract":"<p><p>The rich semantic representation and sophisticated structure definition of the HL7 Fast Healthcare Interoperability Resources (FHIR) specification requires relatively great efforts to understand and utilize. The objective of our study is to design, develop and evaluate an open-source and user-friendly visualization interface for exploring the FHIR specification. We prototyped an interactive visualization tool for navigating and manipulating the FHIR core resources, profiles and extensions. The utility of the tool was evaluated using evaluation metrics mainly focusing on its interactive mechanism and content expressiveness. We demonstrated that the visualization techniques are helpful for navigating the HL7 FHIR specification and aiding its profiling.</p>","PeriodicalId":36444,"journal":{"name":"Journal of Healthcare Informatics Research","volume":"3 1","pages":"329-344"},"PeriodicalIF":5.9,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6784845/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"53224663","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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