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DMIN'11 Invited Lecture: Prof. Nitesh V. Chawla

Last modified 2011-06-18 12:35

Connecting the dots for personalized healthcare
Prof. Nitesh V. Chawla
Director, Data Inference Analysis and Learning Lab (DIAL)
Co-Director, Interdisciplinary Center of the Network Science and Applications (iCenSA)
Computer Science and Engineering Department
University of Notre Dame, Indiana, USA

Date: July 18, 2011
Time: 01:20 - 02:20pm
Location: Ballroom 1


    Proactive personalized medicine is expected to bring fundamental changes, offering recommendations of lifestyle adjustments and treatments to avoid diseases a patient has high risk for developing in the future. Due to common genetic, molecular, environmental, and lifestyle-based individual risk factors, most diseases do not occur in isolation. No matter how unique our medical experiences, chances are that other patients among millions have experienced genetic and environmental risk factors that closely mirror ours. In this talk, I will present our work that builds a comprehensive recommendation system, called CARE (Collaborative Assessment and Recommendation Engine), by pulling in experience of millions of patients to answer the question. I will also present our work on multi-relational representation of disease networks using both genetic knowledge, based on previously discovered gene-disease associations and phenotypic data from real patient histories.


    Nitesh Chawla is an Assistant Professor in the Department of Computer Science and Engineering at the University of Notre Dame. He directs the Data Inference Analysis and Learning Lab (DIAL) and co-directs the Interdisciplinary Center of the Network Science and Applications (iCenSA) at Notre Dame. His research is primarily focused on machine learning, data mining, and social and dynamic networks. His work has led to applications in various domains including biology, medicine, finance, security, social science, fraud detection, intrusion detection, and text categorization. He is on the editorial board of IEEE Transactions on Systems, Man and Cybernetics Part B. He has received various awards and acknowledgements. He received the NAE FIE New Faculty Fellowship in 2005. His current research is supported form NSF, DOD, NWICG, NIJ, and industry sponsors.

Academic Co-Sponsors
The Berkeley Initiative in Soft Computing (BISC)
University of California, Berkeley, USA

Biomedical Cybernetics Laboratory, HST of Harvard University
Massachusetts Institute of Technology (MIT)

Intelligent Data Exploration and Analysis Laboratory
University of Texas at Austin, Austin, Texas, USA

Collaboratory for Advanced Computing and Simulations (CACS)
University of Southern California, USA

Minnesota Supercomputing Institute
University of Minnesota, USA

Knowledge Management & Intelligent System Center (KMIS)
University of Siegen, Germany

UMIT, Institute of Bioinformatics and Translational Research, Austria
BioMedical Informatics & Bio-Imaging Laboratory
Georgia Institute of Technology and Emory University, Atlanta, Georgia, USA

Hawkeye Radiology Informatics, Department of Radiology, College of Medicine, University of Iowa, Iowa, USA

Supercomputer Software Department (SSD), Institute of Computational Mathematics & Mathematical Geophysics, Russian Academy of Sciences
SECLAB of University of Naples Federico II
University of Naples Parthenope, & Second University of Naples, Italy

Medical Image HPC & Informatics Lab (MiHi Lab)
University of Iowa, Iowa, USA

Intelligent Cyberspace Engineering Lab., ICEL, Texas A&M; University (Com./Texas), USA
Model-Based Engineering Laboratory, University of North Dakota, North Dakota, USA

Corporate Sponsor

Intel Corporation

Altera Corporation

Pico Computing

High Performance Computing for Nanotechnology (HPCNano)

International Society of Intelligent Biological Medicine

World Academy of Biomedical Sciences and Technologies
The International Council on Medical and Care Compunetics
The UK Department for Business, Enterprise & Regulatory Reform
Scientific Technologies Corporation

HoIP - Health without Boundaries


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