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Vendors Specifications & Standards Set - 82 American Diner
Vendors Specifications & Standards Set - 82 American Diner
Waqas Khokhar
CT Brain
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Rizwan Tariq
Teatreamics5 anys
Teatreamics5 anys
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Vendors Specifications & Standards Set - 82 American Diner
Vendors Specifications & Standards Set - 82 American Diner
Waqas Khokhar
CT Brain
CT Brain
Rizwan Tariq
Teatreamics5 anys
Teatreamics5 anys
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QCR - 82 American Diner - Updated
QCR - 82 American Diner - Updated
Waqas Khokhar
система управления персоналом
система управления персоналом
nikamironishina
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Ece 502 session 3
Ece 502 session 3
Lisa Downey
Human trafficking ppt
Human trafficking ppt
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Gsm cell analysis
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AMIA 2012 Panel on Visual Analytics for Healthcare Organizer: Adam Perer, PhD Research Scientist IBM T.J. Watson Research Center, Hawthorne, NY Panelists: Ben Shneiderman, PhD Professor, Computer Science University of Maryland, College Park, MD Yuval Shahar, PhD Professor, Head of the Medical Informatics Research Center Ben Gurion University, Beer Sheva, Israel Jeffrey Heer, PhD Assistant Professor, Computer Science Stanford University, Stanford, CA David Gotz, PhD Research Scientist IBM T.J. Watson Research Center, Hawthorne, NY Abstract With the proliferation of medical information technology, users at all levels of the healthcare system have access to more data than ever before6. This data can be of tremendous value but is often difficult to access and interpret. For example clinicians are often faced with the challenging task of analyzing large amounts of unstructured, multi-modal, and longitudinal data to effectively diagnose and monitor the progression of a patient’s disease4,5. Similarly, patients are confronted with the difficult task of understanding the trends and correlations within data related to their own health. At the institutional level, healthcare organizations are faced with the desire to use data to improve overall operational efficiency and performance, while continuing to maintain the quality of patient care and safety. Recent advances in visualization and visual analytics have the potential to help each of the user groups listed above do more with the often overwhelming amount of data available to them 1,3,7,8. However, to be successful, visualization designers and clinicians must work together closely to ensure that the right technologies are used to help address the meaningful problems. Unfortunately, despite the continuous use of scientific visualization and visual analytics in medical applications, the lack of communication between engineers and physicians has meant that only basic visualization and analytics techniques are currently employed in clinical practice2,9. The goal of this panel is to present state-of-the-art visualization applications for healthcare and engage the leading physicians and clinical researchers at AMIA to discuss the areas in healthcare where additional visualization techniques are most needed.
Visual Analytics for Healthcare - Panel at AMIA 2012 in Chicago
Visual Analytics for Healthcare - Panel at AMIA 2012 in Chicago
Adam Perer
UMTS system architecture, protocols & processes
UMTS system architecture, protocols & processes
UMTS system architecture, protocols & processes
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QCR - 82 American Diner - Updated
QCR - 82 American Diner - Updated
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AMIA 2012 Panel on Visual Analytics for Healthcare Organizer: Adam Perer, PhD Research Scientist IBM T.J. Watson Research Center, Hawthorne, NY Panelists: Ben Shneiderman, PhD Professor, Computer Science University of Maryland, College Park, MD Yuval Shahar, PhD Professor, Head of the Medical Informatics Research Center Ben Gurion University, Beer Sheva, Israel Jeffrey Heer, PhD Assistant Professor, Computer Science Stanford University, Stanford, CA David Gotz, PhD Research Scientist IBM T.J. Watson Research Center, Hawthorne, NY Abstract With the proliferation of medical information technology, users at all levels of the healthcare system have access to more data than ever before6. This data can be of tremendous value but is often difficult to access and interpret. For example clinicians are often faced with the challenging task of analyzing large amounts of unstructured, multi-modal, and longitudinal data to effectively diagnose and monitor the progression of a patient’s disease4,5. Similarly, patients are confronted with the difficult task of understanding the trends and correlations within data related to their own health. At the institutional level, healthcare organizations are faced with the desire to use data to improve overall operational efficiency and performance, while continuing to maintain the quality of patient care and safety. Recent advances in visualization and visual analytics have the potential to help each of the user groups listed above do more with the often overwhelming amount of data available to them 1,3,7,8. However, to be successful, visualization designers and clinicians must work together closely to ensure that the right technologies are used to help address the meaningful problems. Unfortunately, despite the continuous use of scientific visualization and visual analytics in medical applications, the lack of communication between engineers and physicians has meant that only basic visualization and analytics techniques are currently employed in clinical practice2,9. The goal of this panel is to present state-of-the-art visualization applications for healthcare and engage the leading physicians and clinical researchers at AMIA to discuss the areas in healthcare where additional visualization techniques are most needed.
Visual Analytics for Healthcare - Panel at AMIA 2012 in Chicago
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Adam Perer
UMTS system architecture, protocols & processes
UMTS system architecture, protocols & processes
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Visual Analytics for Healthcare - Panel at AMIA 2012 in Chicago
Visual Analytics for Healthcare - Panel at AMIA 2012 in Chicago
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