International Conference for 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/