Computing Medicine / National Capital Area Computer Society Chapter Distinguished Lecture

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Computing continues to change the landscape of nearly all domains, medicine included.  For instance, drug resistance is predicted and avoided via data mining applications; radiological reading errors are detected and prevented via natural language processing; and disease outbreak is detected early via text mining techniques.  These are but just some examples where computing is reshaping medical practice.  Specifically, we describe the monitoring of social media to detect disease outbreak and describe the implications of such surveillance schemes to healthcare planning for a major children-focused hospital.  We continue by describing how conventional mining approaches significantly improve urinary tract infection treatment plans as developed jointly with and for another major hospital. Finally, we describe automated means for the detection of differences in radiological readings and describe how such detection schemes are used in yet a third major hospital.



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  • 1244 Oak Ridge Ave
  • McLean, Virginia
  • United States
  • Building: Dolley Madison Library
  • Room Number: Meeting Room 2
  • Click here for Map

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  • Murty Polavarapu

  • Co-sponsored by Society for Social Implications of Technology Chapter ; Baltimore EMBS Chapter; Wasj/NoVa EMBS Chapter
  • Starts 10 March 2019 05:03 PM
  • Ends 30 April 2019 05:03 PM
  • All times are America/New_York
  • No Admission Charge
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  Speakers

Prof. Ophir Frieder of Georgetown University Washington, DC

Topic:

Computing Medicine

Computing continues to change the landscape of nearly all domains, medicine included.  For instance, drug resistance is predicted and avoided via data mining applications; radiological reading errors are detected and prevented via natural language processing; and disease outbreak is detected early via text mining techniques.  These are but just some examples where computing is reshaping medical practice.  Specifically, we describe the monitoring of social media to detect disease outbreak and describe the implications of such surveillance schemes to healthcare planning for a major children-focused hospital.  We continue by describing how conventional mining approaches significantly improve urinary tract infection treatment plans as developed jointly with and for another major hospital. Finally, we describe automated means for the detection of differences in radiological readings and describe how such detection schemes are used in yet a third major hospital.

Biography:

Ophir Frieder holds the Robert L. McDevitt, K.S.G., K.C.H.S. and Catherine H. McDevitt L.C.H.S. Chair in Computer Science and Information Processing and previously served as the Chair of the Department of Computer Science at Georgetown University. He is also Professor of Biostatistics, Bioinformatics and Biomathematics in the Georgetown University Medical Center. In addition to his academic positions, he is the Chief Scientific Officer for Invaryant, Inc. (formerly UMBRA Health, LLC.) and a Research Associate at the Institute of Information Science and Technology at the Italian National Research Council (ISTI-CNR). He is a Fellow of the AAAS, ACM, IEEE, and NAI, and a Member of Academia Europaea and the European Academy of Sciences and Arts.

Address:Georgetown University, , Washington, District of Columbia, United States





Agenda

6:30 PM to 7:00 PM - Refreshments and Networking

7:00 PM - 7:05 PM - Chapter announcements and Speaker Introduction

7:05 PM - Talk