[COVID-19 UPDATE] ICTS4eHealth 2020 - 5th edition of the IEEE International Workshop on ICT Solutions for e-Health
Dear users of Inductive mailing list, FYI [Apologies if you receive multiple copies of this CFP] === The safety and well-being of all conference participants is our priority. Please know that our thoughts are with those affected by the COVID-19 outbreak. After studying and evaluating the recent announcements, guidance, and news released by relevant national departments, we are sorry to announce that ICTS4eHealth 2020, scheduled to be held July 07, 2020, will no longer be held face to face in Rennes, France. Authors of the accepted papers will be invited to upload a 15 minutes presentation of their work, and their video will be available through this website to all interested readers. So, by submitting to the ICTS4eHealth workshop you automatically agree to publish your presentation if your paper will be accepted. Accepted papers will be anyway included in the ISCC 2020 Proceedings, and will be submitted for inclusion to IEEE Xplore. The ISCC Proceedings have been indexed in the past by ISI, dblp, and Scopus. For each paper accepted at ICTS4eHealth workshop, one of the authors will have to pay a reduced fee just to cover the IEEExplore costs: - IEEE Author Member Fee: 100 Euros - IEEE Authors Non-Member Fee: 125 Euros Please, see the new deadlines at Important Dates We are sorry for any possible inconvenience. === MISSION: -- e-Health is one of the major research topics that have been attracting cross-disciplinary research groups. The deployment of new emerging ICT technologies for Health, especially based on Cloud computing, Internet of Things (IoT), and Computational Intelligence, is attracting the interest of many researchers. The use of Cloud computing, IoT technologies, and methods typical of Soft Computing and Computational Intelligence have been very prominent recently and can be of great help in finding good solutions to many practical healthcare applications. For instance, health monitoring, health data storage, health data collection, mobile health, pervasive health, healthcare monitoring, telemedicine, context-aware computing, ubiquitous computing, processing health data in the cloud, securing health data in the cloud and Assistive Technology (AT) are areas of interest that are being addressed using cloud computing and IoT techniques. On the other hand, several challenging issues have raised due to the adoption of such emerging technologies. These include the quality of health data, the ability to retrieve information and use it in health context, as for example in tasks related to machine learning, knowledge discovery, decision support, regression, forecasting, optimization, feature selection, and additionally privacy and security issues of health data while being processed in the cloud, availability of health data, models of context and tele-monitoring of contextual applications. ICTS4eHealth 2020 is the fifth edition of the International IEEE Workshop dedicated to ICT solutions for e-Health, especially based on Cloud computing, Internet of Things (IoT), and Computational Intelligence. The workshop will bring together researchers from academia, industry, government, and medical centers in order to present the state of the art in the emerging area of the use of cloud systems in connected health infrastructure and applications, and the use of IoT and Computational Intelligence technique in the area of eHealth. TOPICS: -- - Cloud computing applications for eHealth - Internet of Things (IoT) applications for eHealth - Assistive Technology (AT). - Informatization, Management and Organization of BME Environments - Bioinformatics and Computational Biology and Medicine - Communication, Networking and Monitoring in Bio-systems - Monitoring of Vital Functions with Sensor and ICT Systems - Biosensors and Sensor Networks - Advanced Bio-signal Processing - Distributed BME Applications - Telehealth, Telecare, Telemonitoring, Telediagnostics - e-Healthcare, m-Healthcare, x-Health - Assisted Living - Smartphones in BME Applications - Social Networking, Computing and Education for Health - Computer Aided Diagnostics - Improved Therapeutic and Rehabilitation Methods - Intelligent Bio-signal Interpretation - Data and Visual Mining for Diagnostics - Advanced Medical Visualization Techniques - Personalized Medical Devices and Approaches - Modelling and Computer Simulations in BME - Human Responses in Extreme Environments - Other Emerging Topics in BME - E-Accessibility - Web accessibility - Hardware & Software personalized assistive technologies - Assistive systems for users who are blind or visually impaired - Cloud computing and AT - Integration between home-based assistive technologies and patient health data
[COVID-19 UPDATE] ICTS4eHealth 2020 - 5th edition of the IEEE International Workshop on ICT Solutions for e-Health
Dear users of Inductive mailing list, FYI [Apologies if you receive multiple copies of this CFP] === The safety and well-being of all conference participants is our priority. Please know that our thoughts are with those affected by the COVID-19 outbreak. After studying and evaluating the recent announcements, guidance, and news released by relevant national departments, we are sorry to announce that ICTS4eHealth 2020, scheduled to be held July 07, 2020, will no longer be held face to face in Rennes, France. Authors of the accepted papers will be invited to upload a 15 minutes presentation of their work, and their video will be available through this website to all interested readers. So, by submitting to the ICTS4eHealth workshop you automatically agree to publish your presentation if your paper will be accepted. Accepted papers will be anyway included in the ISCC 2020 Proceedings, and will be submitted for inclusion to IEEE Xplore. The ISCC Proceedings have been indexed in the past by ISI, dblp, and Scopus. For each paper accepted at ICTS4eHealth workshop, one of the authors will have to pay a reduced fee just to cover the IEEExplore costs: - IEEE Author Member Fee: 100 Euros - IEEE Authors Non-Member Fee: 125 Euros Please, see the new deadlines at Important Dates We are sorry for any possible inconvenience. === MISSION: -- e-Health is one of the major research topics that have been attracting cross-disciplinary research groups. The deployment of new emerging ICT technologies for Health, especially based on Cloud computing, Internet of Things (IoT), and Computational Intelligence, is attracting the interest of many researchers. The use of Cloud computing, IoT technologies, and methods typical of Soft Computing and Computational Intelligence have been very prominent recently and can be of great help in finding good solutions to many practical healthcare applications. For instance, health monitoring, health data storage, health data collection, mobile health, pervasive health, healthcare monitoring, telemedicine, context-aware computing, ubiquitous computing, processing health data in the cloud, securing health data in the cloud and Assistive Technology (AT) are areas of interest that are being addressed using cloud computing and IoT techniques. On the other hand, several challenging issues have raised due to the adoption of such emerging technologies. These include the quality of health data, the ability to retrieve information and use it in health context, as for example in tasks related to machine learning, knowledge discovery, decision support, regression, forecasting, optimization, feature selection, and additionally privacy and security issues of health data while being processed in the cloud, availability of health data, models of context and tele-monitoring of contextual applications. ICTS4eHealth 2020 is the fifth edition of the International IEEE Workshop dedicated to ICT solutions for e-Health, especially based on Cloud computing, Internet of Things (IoT), and Computational Intelligence. The workshop will bring together researchers from academia, industry, government, and medical centers in order to present the state of the art in the emerging area of the use of cloud systems in connected health infrastructure and applications, and the use of IoT and Computational Intelligence technique in the area of eHealth. TOPICS: -- - Cloud computing applications for eHealth - Internet of Things (IoT) applications for eHealth - Assistive Technology (AT). - Informatization, Management and Organization of BME Environments - Bioinformatics and Computational Biology and Medicine - Communication, Networking and Monitoring in Bio-systems - Monitoring of Vital Functions with Sensor and ICT Systems - Biosensors and Sensor Networks - Advanced Bio-signal Processing - Distributed BME Applications - Telehealth, Telecare, Telemonitoring, Telediagnostics - e-Healthcare, m-Healthcare, x-Health - Assisted Living - Smartphones in BME Applications - Social Networking, Computing and Education for Health - Computer Aided Diagnostics - Improved Therapeutic and Rehabilitation Methods - Intelligent Bio-signal Interpretation - Data and Visual Mining for Diagnostics - Advanced Medical Visualization Techniques - Personalized Medical Devices and Approaches - Modelling and Computer Simulations in BME - Human Responses in Extreme Environments - Other Emerging Topics in BME - E-Accessibility - Web accessibility - Hardware & Software personalized assistive technologies - Assistive systems for users who are blind or visually impaired - Cloud computing and AT - Integration between home-based assistive technologies and patient health data
ICTS4eHealth 2020 - 5th edition of the IEEE International Workshop on ICT Solutions for e-Health
Dear users of Inductive mailing list, FYI [Apologies if you receive multiple copies of this CFP] === ICTS4eHealth 2020 - 5th edition of the IEEE International Workshop on ICT Solutions for e-Health The conference will be held in Rennes, France July 7th, 2020 - http://icts4ehealth.icar.cnr.it in conjunction with the Twenty-Fifth IEEE Symposium on Computers and Communications (ISCC) === MISSION: -- e-Health is one of the major research topics that have been attracting cross-disciplinary research groups. The deployment of new emerging ICT technologies for Health, especially based on Cloud computing, Internet of Things (IoT), and Computational Intelligence, is attracting the interest of many researchers. The use of Cloud computing, IoT technologies, and methods typical of Soft Computing and Computational Intelligence have been very prominent recently and can be of great help in finding good solutions to many practical healthcare applications. For instance, health monitoring, health data storage, health data collection, mobile health, pervasive health, healthcare monitoring, telemedicine, context-aware computing, ubiquitous computing, processing health data in the cloud, securing health data in the cloud and Assistive Technology (AT) are areas of interest that are being addressed using cloud computing and IoT techniques. On the other hand, several challenging issues have raised due to the adoption of such emerging technologies. These include the quality of health data, the ability to retrieve information and use it in health context, as for example in tasks related to machine learning, knowledge discovery, decision support, regression, forecasting, optimization, feature selection, and additionally privacy and security issues of health data while being processed in the cloud, availability of health data, models of context and tele-monitoring of contextual applications. ICTS4eHealth 2020 is the fifth edition of the International IEEE Workshop dedicated to ICT solutions for e-Health, especially based on Cloud computing, Internet of Things (IoT), and Computational Intelligence. The workshop will bring together researchers from academia, industry, government, and medical centers in order to present the state of the art in the emerging area of the use of cloud systems in connected health infrastructure and applications, and the use of IoT and Computational Intelligence technique in the area of eHealth. TOPICS: -- - Cloud computing applications for eHealth - Internet of Things (IoT) applications for eHealth - Assistive Technology (AT). - Informatization, Management and Organization of BME Environments - Bioinformatics and Computational Biology and Medicine - Communication, Networking and Monitoring in Bio-systems - Monitoring of Vital Functions with Sensor and ICT Systems - Biosensors and Sensor Networks - Advanced Bio-signal Processing - Distributed BME Applications - Telehealth, Telecare, Telemonitoring, Telediagnostics - e-Healthcare, m-Healthcare, x-Health - Assisted Living - Smartphones in BME Applications - Social Networking, Computing and Education for Health - Computer Aided Diagnostics - Improved Therapeutic and Rehabilitation Methods - Intelligent Bio-signal Interpretation - Data and Visual Mining for Diagnostics - Advanced Medical Visualization Techniques - Personalized Medical Devices and Approaches - Modelling and Computer Simulations in BME - Human Responses in Extreme Environments - Other Emerging Topics in BME - E-Accessibility - Web accessibility - Hardware & Software personalized assistive technologies - Assistive systems for users who are blind or visually impaired - Cloud computing and AT - Integration between home-based assistive technologies and patient health data - User-centered design of electronic assistive technologies - Usability of assistive technologies - Computer vision in AT - User interfaces for home-based assistive technologies - Use of prescription systems and assistive technologies - Experience from real world assistive environment deployment - Assistive Technologies for Urban Environments - Healthcare modeling and simulation - Knowledge discovery and decision support - Biomedical data processing - Wearable devices - Sensor-based mHealth applications The use of Soft Computing/Computational Intelligence methods in facing problems in the above topics is highly welcome, although not compulsory. PAPER SUBMISSION: -- Manuscripts should describe original work and should be no more than 7 pages for full papers and 4 pages for short papers in the IEEE double column proceedings format including tables, fig
ICTS4eHealth 2020 - 5th edition of the IEEE International Workshop on ICT Solutions for e-Health
Dear users of Inductive mailing list, FYI [Apologies if you receive multiple copies of this CFP] === ICTS4eHealth 2020 - 5th edition of the IEEE International Workshop on ICT Solutions for e-Health The conference will be held in Rennes, France July 7th, 2020 - http://icts4ehealth.icar.cnr.it in conjunction with the Twenty-Fifth IEEE Symposium on Computers and Communications (ISCC) === MISSION: -- e-Health is one of the major research topics that have been attracting cross-disciplinary research groups. The deployment of new emerging ICT technologies for Health, especially based on Cloud computing, Internet of Things (IoT), and Computational Intelligence, is attracting the interest of many researchers. The use of Cloud computing, IoT technologies, and methods typical of Soft Computing and Computational Intelligence have been very prominent recently and can be of great help in finding good solutions to many practical healthcare applications. For instance, health monitoring, health data storage, health data collection, mobile health, pervasive health, healthcare monitoring, telemedicine, context-aware computing, ubiquitous computing, processing health data in the cloud, securing health data in the cloud and Assistive Technology (AT) are areas of interest that are being addressed using cloud computing and IoT techniques. On the other hand, several challenging issues have raised due to the adoption of such emerging technologies. These include the quality of health data, the ability to retrieve information and use it in health context, as for example in tasks related to machine learning, knowledge discovery, decision support, regression, forecasting, optimization, feature selection, and additionally privacy and security issues of health data while being processed in the cloud, availability of health data, models of context and tele-monitoring of contextual applications. ICTS4eHealth 2020 is the fifth edition of the International IEEE Workshop dedicated to ICT solutions for e-Health, especially based on Cloud computing, Internet of Things (IoT), and Computational Intelligence. The workshop will bring together researchers from academia, industry, government, and medical centers in order to present the state of the art in the emerging area of the use of cloud systems in connected health infrastructure and applications, and the use of IoT and Computational Intelligence technique in the area of eHealth. TOPICS: -- - Cloud computing applications for eHealth - Internet of Things (IoT) applications for eHealth - Assistive Technology (AT). - Informatization, Management and Organization of BME Environments - Bioinformatics and Computational Biology and Medicine - Communication, Networking and Monitoring in Bio-systems - Monitoring of Vital Functions with Sensor and ICT Systems - Biosensors and Sensor Networks - Advanced Bio-signal Processing - Distributed BME Applications - Telehealth, Telecare, Telemonitoring, Telediagnostics - e-Healthcare, m-Healthcare, x-Health - Assisted Living - Smartphones in BME Applications - Social Networking, Computing and Education for Health - Computer Aided Diagnostics - Improved Therapeutic and Rehabilitation Methods - Intelligent Bio-signal Interpretation - Data and Visual Mining for Diagnostics - Advanced Medical Visualization Techniques - Personalized Medical Devices and Approaches - Modelling and Computer Simulations in BME - Human Responses in Extreme Environments - Other Emerging Topics in BME - E-Accessibility - Web accessibility - Hardware & Software personalized assistive technologies - Assistive systems for users who are blind or visually impaired - Cloud computing and AT - Integration between home-based assistive technologies and patient health data - User-centered design of electronic assistive technologies - Usability of assistive technologies - Computer vision in AT - User interfaces for home-based assistive technologies - Use of prescription systems and assistive technologies - Experience from real world assistive environment deployment - Assistive Technologies for Urban Environments - Healthcare modeling and simulation - Knowledge discovery and decision support - Biomedical data processing - Wearable devices - Sensor-based mHealth applications The use of Soft Computing/Computational Intelligence methods in facing problems in the above topics is highly welcome, although not compulsory. PAPER SUBMISSION: -- Manuscripts should describe original work and should be no more than 7 pages for full papers and 4 pages for short papers in the IEEE double column proceedings format including tables, fig
ICTS4eHealth 2020 - 5th edition of the IEEE International Workshop on ICT Solutions for e-Health
Dear users of Inductive mailing list, FYI [Apologies if you receive multiple copies of this CFP] === ICTS4eHealth 2020 - 5th edition of the IEEE International Workshop on ICT Solutions for e-Health The conference will be held in Rennes, France July 7th, 2020 - http://icts4ehealth.icar.cnr.it in conjunction with the Twenty-Fifth IEEE Symposium on Computers and Communications (ISCC) === MISSION: -- e-Health is one of the major research topics that have been attracting cross-disciplinary research groups. The deployment of new emerging ICT technologies for Health, especially based on Cloud computing, Internet of Things (IoT), and Computational Intelligence, is attracting the interest of many researchers. The use of Cloud computing, IoT technologies, and methods typical of Soft Computing and Computational Intelligence have been very prominent recently and can be of great help in finding good solutions to many practical healthcare applications. For instance, health monitoring, health data storage, health data collection, mobile health, pervasive health, healthcare monitoring, telemedicine, context-aware computing, ubiquitous computing, processing health data in the cloud, securing health data in the cloud and Assistive Technology (AT) are areas of interest that are being addressed using cloud computing and IoT techniques. On the other hand, several challenging issues have raised due to the adoption of such emerging technologies. These include the quality of health data, the ability to retrieve information and use it in health context, as for example in tasks related to machine learning, knowledge discovery, decision support, regression, forecasting, optimization, feature selection, and additionally privacy and security issues of health data while being processed in the cloud, availability of health data, models of context and tele-monitoring of contextual applications. ICTS4eHealth 2020 is the fifth edition of the International IEEE Workshop dedicated to ICT solutions for e-Health, especially based on Cloud computing, Internet of Things (IoT), and Computational Intelligence. The workshop will bring together researchers from academia, industry, government, and medical centers in order to present the state of the art in the emerging area of the use of cloud systems in connected health infrastructure and applications, and the use of IoT and Computational Intelligence technique in the area of eHealth. TOPICS: -- - Cloud computing applications for eHealth - Internet of Things (IoT) applications for eHealth - Assistive Technology (AT). - Informatization, Management and Organization of BME Environments - Bioinformatics and Computational Biology and Medicine - Communication, Networking and Monitoring in Bio-systems - Monitoring of Vital Functions with Sensor and ICT Systems - Biosensors and Sensor Networks - Advanced Bio-signal Processing - Distributed BME Applications - Telehealth, Telecare, Telemonitoring, Telediagnostics - e-Healthcare, m-Healthcare, x-Health - Assisted Living - Smartphones in BME Applications - Social Networking, Computing and Education for Health - Computer Aided Diagnostics - Improved Therapeutic and Rehabilitation Methods - Intelligent Bio-signal Interpretation - Data and Visual Mining for Diagnostics - Advanced Medical Visualization Techniques - Personalized Medical Devices and Approaches - Modelling and Computer Simulations in BME - Human Responses in Extreme Environments - Other Emerging Topics in BME - E-Accessibility - Web accessibility - Hardware & Software personalized assistive technologies - Assistive systems for users who are blind or visually impaired - Cloud computing and AT - Integration between home-based assistive technologies and patient health data - User-centered design of electronic assistive technologies - Usability of assistive technologies - Computer vision in AT - User interfaces for home-based assistive technologies - Use of prescription systems and assistive technologies - Experience from real world assistive environment deployment - Assistive Technologies for Urban Environments - Healthcare modeling and simulation - Knowledge discovery and decision support - Biomedical data processing - Wearable devices - Sensor-based mHealth applications The use of Soft Computing/Computational Intelligence methods in facing problems in the above topics is highly welcome, although not compulsory. PAPER SUBMISSION: -- Manuscripts should describe original work and should be no more than 7 pages for full papers and 4 pages for short papers in the IEEE double column proceedings format including tables, fig
ICTS4eHealth 2020 - 5th edition of the IEEE International Workshop on ICT Solutions for e-Health
Dear users of Inductive mailing list, FYI *[Our sincere apologies if you receive multiple copies of this announcement]* *** CALL FOR PAPERS *** The 10th Workshop on Management of Cloud and Smart City Systems MoCS 2020 https://mocs20.gforge.uni.lu/ In conjunction with IEEE ISCC 2020 - Rennes, France ** The last years have witnessed a permanent change of vision of cloud systems. Nowadays, the most important stakeholders such as private companies, public agencies, research communities and citizens rely on the cloud for a number of purposes, stemming from sharing hardware infrastructures to software, data, and sensing services. The services designed for complex scenarios like Multi-Access Edge Computing (MEC), smart cities, and the upcoming Industry 4.0, pave the path for a new era of the cloud. The complexity of human dynamics in a city can be better analyzed by decentralizing the infrastructure, integrating and opening the data and sharing the services. The MEC paradigm, standardized by ETSI, is a key enabling technology for upcoming 5G networks, whereby applications and network functions are hosted in edge cloud data centers. By being closer to the end-user, besides better supporting low-latency applications, MEC systems are a candidate architecture for such a decentralized, context-aware infrastructure. Through sensing as a service processes, crowd-sensed data is made available to the cloud stakeholders. Some of them like citizens become data contributors, customers and service consumers at the same time. Despite such a rapid (re-)evolution of cloud systems, it remains unclear whether current solutions are able to support these emergent application scenarios. In this context, artificial intelligence (AI) and machine learning (ML) can provide deeper knowledge of the behavior of edge systems to shape the development of autonomic orchestration and networking. The MoCS workshop started following the "cloud" stream 9 years ago. The focus of the 10th MoCS edition is in the convergence of cloud paradigm in form of MEC to support low-latency, context-aware applications for complex scenarios like smart cities and learning-driven approaches for urban planning. Topics of interest include but are not limited to the following: * Application of cloud and MEC systems to smart cities services; * Models for context-aware crowdsensing techniques at urban-level scale; * Integration of cloud/edge systems and mobile crowdsensing systems through Human-enabled Edge Computing (HEC) paradigm; * Edge data center deployment in urban environments to support low-latency applications; * ML- and AI-based approaches for edge computing services; * AI-driven models, architectures, and frameworks for edge computing; * Experiences on the (re)use of open platforms for cloud-integrated smart cities services; * Design and evaluation tools for scalability and efficient resource allocation in smart cities; * Design and application of cloud/edge technologies to Intelligent Transport Systems (ITS); * Vehicular cloud architectures for provisioning of smart cities services; * Adaptive solutions for scalable, maintainable, cost-effective cloud management and services provision; * Models and paradigms for the management of cloud/MEC services within/between data centres (intra- /inter-domain) and their deployment in urban environment; * Application of ML techniques to cloud/edge-based smart city applications; * Cloud/edge-based automation tools applied to robotic science for smart cities; * Pricing schemes, bargaining mechanisms and economics for trading data in cloud/edge environments; * Blockchain solutions for secure and reliable transactions between the counterparts in data sharing/trading; * Data-driven approaches for smart transportation in urban areas; * Software defined networks and placement of the controller in urban environments. ** IMPORTANT DATES ** Paper Submission: May 7, 2020 Notification of Acceptance: June 14, 2020 Final Paper: June 30, 2020 ** SUBMISSION INSTRUCTIONS ** Prospective authors are invited to submit original technical papers for publication in MoCS 2020. Manuscripts should be written in English with a maximum paper length of 6 printed pages for full papers and 4 pages for short papers. No more than 20\% of short papers will be accepted. All manuscripts should adhere to the IEEE double-column conference proceedings (https://www.ieee.org/conferences/publishing/templates.html). Authors are invited to submit their papers using EasyChair at https://easychair.org/my/conference?conf=ieeeiscc2020#. Papers exceeding 6 pages will not be accepted by EasyChair. At least one author of each accepted paper is required to register to the conference and present the paper. Only registered and presented papers will be included in the ISCC 2020 Proceedings and submitted for inclusion to IEEE Xplore library. The IEEE ISCC Proceedings have been indexed in the past by ISI, dblp and Scopus. This makes the IE
ICTS4eHealth 2020 - 5th edition of the IEEE International Workshop on ICT Solutions for e-Health
Dear users of Inductive mailing list, FYI [Apologies if you receive multiple copies of this CFP] === ICTS4eHealth 2020 - 5th edition of the IEEE International Workshop on ICT Solutions for e-Health The conference will be held in Rennes, France July 7th, 2020 - http://icts4ehealth.icar.cnr.it in conjunction with the Twenty-Fifth IEEE Symposium on Computers and Communications (ISCC) === MISSION: -- e-Health is one of the major research topics that have been attracting cross-disciplinary research groups. The deployment of new emerging ICT technologies for Health, especially based on Cloud computing, Internet of Things (IoT), and Computational Intelligence, is attracting the interest of many researchers. The use of Cloud computing, IoT technologies, and methods typical of Soft Computing and Computational Intelligence have been very prominent recently and can be of great help in finding good solutions to many practical healthcare applications. For instance, health monitoring, health data storage, health data collection, mobile health, pervasive health, healthcare monitoring, telemedicine, context-aware computing, ubiquitous computing, processing health data in the cloud, securing health data in the cloud and Assistive Technology (AT) are areas of interest that are being addressed using cloud computing and IoT techniques. On the other hand, several challenging issues have raised due to the adoption of such emerging technologies. These include the quality of health data, the ability to retrieve information and use it in health context, as for example in tasks related to machine learning, knowledge discovery, decision support, regression, forecasting, optimization, feature selection, and additionally privacy and security issues of health data while being processed in the cloud, availability of health data, models of context and tele-monitoring of contextual applications. ICTS4eHealth 2020 is the fifth edition of the International IEEE Workshop dedicated to ICT solutions for e-Health, especially based on Cloud computing, Internet of Things (IoT), and Computational Intelligence. The workshop will bring together researchers from academia, industry, government, and medical centers in order to present the state of the art in the emerging area of the use of cloud systems in connected health infrastructure and applications, and the use of IoT and Computational Intelligence technique in the area of eHealth. TOPICS: -- - Cloud computing applications for eHealth - Internet of Things (IoT) applications for eHealth - Assistive Technology (AT). - Informatization, Management and Organization of BME Environments - Bioinformatics and Computational Biology and Medicine - Communication, Networking and Monitoring in Bio-systems - Monitoring of Vital Functions with Sensor and ICT Systems - Biosensors and Sensor Networks - Advanced Bio-signal Processing - Distributed BME Applications - Telehealth, Telecare, Telemonitoring, Telediagnostics - e-Healthcare, m-Healthcare, x-Health - Assisted Living - Smartphones in BME Applications - Social Networking, Computing and Education for Health - Computer Aided Diagnostics - Improved Therapeutic and Rehabilitation Methods - Intelligent Bio-signal Interpretation - Data and Visual Mining for Diagnostics - Advanced Medical Visualization Techniques - Personalized Medical Devices and Approaches - Modelling and Computer Simulations in BME - Human Responses in Extreme Environments - Other Emerging Topics in BME - E-Accessibility - Web accessibility - Hardware & Software personalized assistive technologies - Assistive systems for users who are blind or visually impaired - Cloud computing and AT - Integration between home-based assistive technologies and patient health data - User-centered design of electronic assistive technologies - Usability of assistive technologies - Computer vision in AT - User interfaces for home-based assistive technologies - Use of prescription systems and assistive technologies - Experience from real world assistive environment deployment - Assistive Technologies for Urban Environments - Healthcare modeling and simulation - Knowledge discovery and decision support - Biomedical data processing - Wearable devices - Sensor-based mHealth applications The use of Soft Computing/Computational Intelligence methods in facing problems in the above topics is highly welcome, although not compulsory. PAPER SUBMISSION: -- Manuscripts should describe original work and should be no more than 7 pages for full papers and 4 pages for short papers in the IEEE double column proceedings format including tables, fig
