The 2nd IEEE Conference on Healthcare Informatics, Imaging, and Systems Biology
(HISB): Analyzing Big Data for Healthcare and Biomedical Sciences
UCSD, La Jolla, California, September 27-28, 2012
Personalizing medicine and improving healthcare relies on new biologic discoveries, algorithms, information systems, and technologies from multiple fields. The goal of this conference is to bring together researchers in healthcare informatics, medical imaging, and human systems biology to not only present the state-of-the-art research in their fields, but also create synergies among the community to close the loop in the biological analysis of health and disease, detect patterns through advanced imaging and monitoring devices, and analyze their relationships with wellness and clinical outcomes.
We solicit original, high-quality submissions that address innovative research and applications along the tracks of (1) healthcare informatics and mobile health, (2) imaging informatics, and (3) bioinformatics and human-based systems biology. Authors of accepted paper can opt towards publication of their paper in IEEE Explorer (EI indexed), or to publish only the abstract in the HISB Proceedings (so that the paper can be submitted to a journal). The goal is to feature the best work in the conference and get feedback from the audience. Selected papers will be invited for submission to the Journal of the American Medical Informatics Association (JAMIA). Below is a non-exhaustive list of topics.
Conference Chair: Dr. Lucila Ohno-Machado, UC San Diego
Scientific Program Co-Chairs:
Health Informatics: Dr. Christopher Chute, Mayo Clinic; Dr. Michael Matheny, Vanderbilt University
Imaging: Dr. Sameer Antani, NLM/NIH; Dr. Daniel Rubin, Stanford University
Systems Biology: Dr. Phil Bourne, UC San Diego; Dr. Hsei-Wei Wang, National Yang Ming University
Steering Committee Chairs: Dr. Xue-wen Chen, University of Kansas; Dr. Tanveer Syeda-Mahmood, IBM Almaden Research Center
Track 3: Systems Biology & Bioinformatics
Bioinformatics algorithms and applications related
to human health
Regulatory gene networks, visualization of networks
Algorithms and tools for proteomics
Machine learning for computational biology
Linking the genotype to phenotype, personalized medicine
Gene expression analysis
Computational approaches to pharmacogenomics
Algorithms and tools for whole genome analysis
High throughput imaging (e.g. RNAi)-derived data analysis
Key Dates:
Paper and abstract submission: July 4, 2012
Notification of acceptance: August 22, 2012
Camera-ready version: August 31, 2011
Tutorials proposals due: July 30, 2012
Demo proposals due: July 30, 2012
Conference Dates: September 27-28, 2012
Track 1: Healthcare Informatics
Clinical data mining, statistical and machine learning
Clinical decision support
Privacy technology, policy, and algorithms
Architectures and systems for data and knowledge sharing, including cloud computing
Data integration, standards, ontologies, and knowledge representation
Biomedical text mining and natural language processing
Mobile health technologies and applications
Patient-oriented health informatics tools and applications
Social network technology in clinical care and health promotion
Applications of clinical genomics
Track 2: Imaging
Data indexing and retrieval from multimodal imaging databases
Machine learning of disease from mining multimodal
Image/Curve/Surface/Volume registration
Biomedical image motion analysis
Multidimensional data visualization
Molecular and cellular image analysis
Disease model-building and clinical decision support systems based on multimodal analysis
Combining diagnostic imaging with systems biology
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Daniel L. Rubin, MD, MS
Assistant Professor of Radiology and Medicine (Biomedical Informatics)
Department of Radiology | Stanford University
Richard M. Lucas Center | 1201 Welch Road, Office P285
Stanford, CA 94305-5488
Phone: 650-723-9495 | Fax: 650-723-5795
Web: http://rubin.web.stanford.edu/