Advancing Informatics for healthcare andhealthcare applications has become an international research priority. There isincreased effort to transform reactive care to proactive and preventive care,clinic-centric to patient-centered practice, training-based interventions toglobally aggregated evidence, and episodic response to continuous well-beingmonitoring and maintenance.
ICSH 2015 (International Conference for Smart Health 2015)isintended to provide a forum for the growing smart health research community todiscuss the principles, algorithms and applications of intelligent dataacquisition, processing, and analysis of healthcare data.
Theconference proceedings will be published by Springer Lecture Notes in ComputerScience (LNCS). The electronic conference proceedings will be provided at thetime of registration. The published proceedings will be sent to each registrantlater by organizers. Selected papers will also be considered for IEEE Intelligent Systems and ACM Transactions on ManagementInformation Systems.
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Important Dates:
Paper Submission: SEPTEMBER 6, 2015(EXTENDED)
Notification of acceptance: SEPTEMBER 26, 2015
Conference dates: NOVEMBER 17-18, 2015
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Topics of Interest forthe 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. Clinicalpractice 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. Miningclinical 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. Globalsystems 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
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