Smart Health 2015 Call for Papers
Advancing Informatics for healthcare and healthcare applications has become an international research priority. There is increased effort to transform reactive care to proactive and preventive care, clinic-centric to patient-centered practice, training-based interventions to globally aggregated evidence, and episodic response to continuous well-being monitoring and maintenance.
ICSH 2015 (International Conference for Smart Health 2015) is intended to provide a forum for the growing smart health research community to discuss the principles, algorithms and applications of intelligent data acquisition, processing, and analysis of healthcare data.
The conference proceedings will be published by Springer Lecture Notes in Computer Science (LNCS). The electronic conference proceedings will be provided at the time of registration. The published proceedings will be sent to each registrant later by organizers. Selected papers will also be considered for IEEE Intelligent Systems and ACM Transactions on Management Information 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 for the conference include, but are not limited to (see the conference website at http://icsh2015.org for additional suggestions):
I. Information sharing, integrating and extraction
Patient education, learning and involvement
Consumer and clinician health information needs, seeking, sharing, and use
Healthcare knowledge abstraction, classification and summarization
Effective Information retrieval for healthcare applications
Natural language processing and text mining for biomedical and clinical applications, EHR, clinical notes, and health consumer texts
Intelligent systems and text mining for electronic health records
Health and clinical data integrity, privacy and 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 innovative applications (patient monitoring, recommender systems for clinicians, adverse effects monitoring)
Mental and physical health data integration
Computer-aided diagnosis
Computational support for patient-centered and 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 for evidence-based clinical decision making
Biomarker discovery and biomedical data mining
Semantic Web, linked data, ontologies for healthcare applications
Software infrastructure for biomedical applications (text mining platforms, semantic web, workflows, etc)
Intelligent Medical data management
Computational intelligence methodologies for healthcare
IV. Assistive, persuasive and intelligent devices for medical care and monitoring
Assistive devices and tools for individuals with special needs
Intelligent medical devices and sensors
Continuous monitoring and streaming technologies for healthcare
Computer support for surgical intervention
Localized data for improving emergency care
Localization, persuasion and mobile approaches 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 and interventions
Data analytics for clinical care
Systems for Telemedicine
Pharmacy informatics systems and drug discovery
Collaboration technologies for healthcare
Healthcare workflow management
Meta-studies of community, national and international programs
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MORE INFORMATION:
http://icsh2015.org/