ICSH 2015 (International Conference for Smart Health 2015
2015-07-25 22:35
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Advancing Informatics for healthcare and healthcare applications hasbecome an international research priority. There is increased effort totransform reactive care to proactive and preventive care, clinic-centric
topatient-centered practice, training-based interventions to globally aggregatedevidence, and episodic response to continuous well-being monitoring andmaintenance.
ICSH 2015 (International Conference forSmart Health 2015)is intended to provide a forum for the growing smart health research communityto discuss the principles, algorithms
and applications of intelligent dataacquisition, processing, and analysis of healthcare data.
The conference proceedings will be published by Springer LectureNotes in Computer Science (LNCS). The electronic conference proceedings will beprovided at the time of registration. The published proceedings will be sent toeach
registrant later by organizers. Selected papers will also be consideredfor IEEE IntelligentSystems and ACMTransactions on ManagementInformation Systems.
---------------------------------------------------------------------------------------
Important Dates:
Paper Submission: SEPTEMBER 6, 2015(EXTENDED)
Notification of acceptance: SEPTEMBER 26, 2015
Conference dates: NOVEMBER 17-18, 2015
------------------------------------------------------------------------------------
Topicsof Interest for the conference include, but are not limited to
(see the conferencewebsite at http://icsh2015.org for additional suggestions):
I.Information sharing, integrating and extraction
♦ Patient education, learning and involvement
♦ Consumer and clinician health informationneeds, seeking, sharing, and use
♦ Healthcare knowledge abstraction,classification and summarization
♦ Effective Information retrieval forhealthcare applications
♦ Natural language processing and text miningfor biomedical and clinical applications, EHR, clinical notes, and healthconsumer texts
♦ Intelligent systems and text mining forelectronic health records
♦ Health and clinical data integrity, privacyand representativeness for secondary use of data
II.Clinical practice and training
♦ Virtual patient modeling for learning,practicing and demonstrating care practices
♦ Medical recommender systems
♦ Text mining clinical text for innovativeapplications (patient monitoring, recommender systems for clinicians, adverseeffects monitoring)
♦ Mental and physical health data integration
♦ Computer-aided diagnosis
♦ Computational support for patient-centeredand evidence-based care
♦ Disease profiling and personalized treatment
♦ Visual analytics for healthcare
♦ Transdisciplinary healthcare through IT
III.Mining clinical and medical data
♦ Data augmentation and combination forevidence-based clinical decision making
♦ Biomarker discovery and biomedical datamining
♦ Semantic Web, linked data, ontologies forhealthcare applications
♦ Software infrastructure for biomedicalapplications (text mining platforms, semantic web, workflows, etc)
♦ Intelligent Medical data management
♦ Computational intelligence methodologies forhealthcare
IV.Assistive, persuasive and intelligent devices for medical care and monitoring
♦ Assistive devices and tools for individualswith special needs
♦ Intelligent medical devices and sensors
♦ Continuous monitoring and streamingtechnologies for healthcare
♦ Computer support for surgical intervention
♦ Localized data for improving emergency care
♦ Localization, persuasion and mobileapproaches to increasing healthy life styles and better self-care
♦ Virtual and augmented reality for healthcare
V.Global systems and large-scale health data analysis and management
♦ Global spread of disease: models, tools andinterventions
♦ Data analytics for clinical care
♦ Systems for Telemedicine
♦ Pharmacy informatics systems and drugdiscovery
♦ Collaboration technologies for healthcare
♦ Healthcare workflow management
♦ Meta-studies of community, national andinternational programs
------------------------------------------------------------------------------
MORE INFORMATION:
http://icsh2015.org/
topatient-centered practice, training-based interventions to globally aggregatedevidence, and episodic response to continuous well-being monitoring andmaintenance.
ICSH 2015 (International Conference forSmart Health 2015)is intended to provide a forum for the growing smart health research communityto discuss the principles, algorithms
and applications of intelligent dataacquisition, processing, and analysis of healthcare data.
The conference proceedings will be published by Springer LectureNotes in Computer Science (LNCS). The electronic conference proceedings will beprovided at the time of registration. The published proceedings will be sent toeach
registrant later by organizers. Selected papers will also be consideredfor IEEE IntelligentSystems and ACMTransactions on ManagementInformation Systems.
---------------------------------------------------------------------------------------
Important Dates:
Paper Submission: SEPTEMBER 6, 2015(EXTENDED)
Notification of acceptance: SEPTEMBER 26, 2015
Conference dates: NOVEMBER 17-18, 2015
------------------------------------------------------------------------------------
Topicsof Interest for the conference include, but are not limited to
(see the conferencewebsite at http://icsh2015.org for additional suggestions):
I.Information sharing, integrating and extraction
♦ Patient education, learning and involvement
♦ Consumer and clinician health informationneeds, seeking, sharing, and use
♦ Healthcare knowledge abstraction,classification and summarization
♦ Effective Information retrieval forhealthcare applications
♦ Natural language processing and text miningfor biomedical and clinical applications, EHR, clinical notes, and healthconsumer texts
♦ Intelligent systems and text mining forelectronic health records
♦ Health and clinical data integrity, privacyand representativeness for secondary use of data
II.Clinical practice and training
♦ Virtual patient modeling for learning,practicing and demonstrating care practices
♦ Medical recommender systems
♦ Text mining clinical text for innovativeapplications (patient monitoring, recommender systems for clinicians, adverseeffects monitoring)
♦ Mental and physical health data integration
♦ Computer-aided diagnosis
♦ Computational support for patient-centeredand evidence-based care
♦ Disease profiling and personalized treatment
♦ Visual analytics for healthcare
♦ Transdisciplinary healthcare through IT
III.Mining clinical and medical data
♦ Data augmentation and combination forevidence-based clinical decision making
♦ Biomarker discovery and biomedical datamining
♦ Semantic Web, linked data, ontologies forhealthcare applications
♦ Software infrastructure for biomedicalapplications (text mining platforms, semantic web, workflows, etc)
♦ Intelligent Medical data management
♦ Computational intelligence methodologies forhealthcare
IV.Assistive, persuasive and intelligent devices for medical care and monitoring
♦ Assistive devices and tools for individualswith special needs
♦ Intelligent medical devices and sensors
♦ Continuous monitoring and streamingtechnologies for healthcare
♦ Computer support for surgical intervention
♦ Localized data for improving emergency care
♦ Localization, persuasion and mobileapproaches to increasing healthy life styles and better self-care
♦ Virtual and augmented reality for healthcare
V.Global systems and large-scale health data analysis and management
♦ Global spread of disease: models, tools andinterventions
♦ Data analytics for clinical care
♦ Systems for Telemedicine
♦ Pharmacy informatics systems and drugdiscovery
♦ Collaboration technologies for healthcare
♦ Healthcare workflow management
♦ Meta-studies of community, national andinternational programs
------------------------------------------------------------------------------
MORE INFORMATION:
http://icsh2015.org/
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