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Titlebook: Health Information Science; 6th International Co Siuly Siuly,Zhisheng Huang,Stanislav Klimenko Conference proceedings 2017 Springer Interna

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书目名称Health Information Science
副标题6th International Co
编辑Siuly Siuly,Zhisheng Huang,Stanislav Klimenko
视频video
概述Includes supplementary material:
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Health Information Science; 6th International Co Siuly Siuly,Zhisheng Huang,Stanislav Klimenko Conference proceedings 2017 Springer Interna
描述This book constitutes the refereed proceedings of the 6th International Conference on Health Information Science, HIS 2017, held in Moscow, Russia, in October 2017..The 11 full papers and 7 short papers presented were carefully reviewed and selected from 44 submissions. .The papers feature multidisciplinary research results in health information science and systems that support health information management and health service delivery. They relate to all aspects of the conference scope, such as medical/health/biomedicine information resources such as patient medical records, devices and equipments, software and tools to capture, store, retrieve, process, analyze, and optimize the use of information in the health domain; data management, data mining, and knowledge discovery, management of public.health, examination of standards, privacy and security issues; computer visualization and artificial intelligence for computer aided diagnosis; development of new architectures and applications for health information systems..
出版日期Conference proceedings 2017
关键词3D reconstruction; artificial intelligence; brain computer interface; classifiers; computer networks; com
版次1
doihttps://doi.org/10.1007/978-3-319-69182-4
isbn_softcover978-3-319-69181-7
isbn_ebook978-3-319-69182-4Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer International Publishing AG 2017
The information of publication is updating

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A Computer Simulation Approach to Reduce Appointment Lead-Time in Outpatient Perinatology Departmenppointment delays are related to patient dissatisfaction, no shows and sudden infant death syndrome. This paper aims to model and evaluate improvement proposals to outpatient care delivery by applying computer simulation approaches. First, suitable data is collected and analyzed. Then, a discrete-ev
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Engaging Patients, Empowering Doctors in Digitalization of Healthcare,r use. The key problem seems to convince the patient that doctor will get acquainted with the data sent in service of Patient Health Records (PHR) on time. From other hand we have to organize for doctors the comfortable access to such data and do not overload them. The dynamics of clinical parameter
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Developing a Tunable Q-Factor Wavelet Transform Based Algorithm for Epileptic EEG Feature Extractionlinear in nature. EEG signals are a mixture of sustained oscillation and non-oscillatory transients that are difficult to deal with by linear methods. This paper proposes a new technique based on a tunable Q-factor wavelet transform (TQWT) and statistical method (SM), denoted as TQWT-SM, to analyze
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A Data-Driven Approach for Discovering the Recent Research Status of Diabetes in China,od on diabetes-related literature. With the basis of 24,561 publication documents from CNKI during 2007–2016, the quantitative analysis are conducted in three aspects: (1) descriptive statistical method for acquiring literature distribution characteristics; (2) hierarchical clustering, .-means clust
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