Georgia Tourassi will discuss this month's JAMIA Journal Club selection:
Tourassi G, Yoon HJ, Xu S, Han X.
The utility of web mining for epidemiological research: studying the association between parity and cancer risk. J Am Med Inform Assoc. 2015 Nov 27. pii: ocv141. doi: 10.1093/jamia/ocv141. [Epub ahead of print]
Georgia Tourassi is the Director of the Health Data Sciences Institute at the Oak Ridge National Laboratory (ORNL). She holds a B.S. in Physics from the University of Thessaloniki, Greece (1987) and a Ph.D. in Biomedical Engineering from Duke University (1993). She received the Young Investigator's Award from NIH (1994) and the Whitaker Foundation (1996). Before joining ORNL, Dr. Tourassi was Professor of Radiology and the Medical Physics Graduate Program at Duke University Medical Center, where she currently holds an Adjunct Professor position. Her research interests include biomedical informatics, medical imaging, and computer-aided decision support. Her medical imaging research has been featured in several publications including The Economist and recently won an R&D 100 award (2014). Latest research work is focused on the use of cyber-informatics for cancer related epidemiological discovery, which was selected as a finalist for 2015 R&D awards. She has authored over 250 peer-reviewed journal papers, conference proceedings papers, and book chapters. Dr. Tourassi serves on NIH grant review study sections as charter member. She has also served on the FDA advisory committee on computer-aided diagnosis devices. She is senior member of several scientific societies (IEEE, INNS, SPIE, AAAS, BMES). In 2015 she was elected Fellow of the American Institute of Medical and Biological Engineering (AIMBE) and the American Association of Physicists in Medicine (AAPM).
- 40-minute discussion between the authors and the JAMIA Student Editorial Board moderators including salient features of the published study and its potential impact on practice.
- 20-minute discussion of questions submitted by listeners via the webinar tools.
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JAMIA Journal Club managers are JAMIA Student Editorial Board members:
Mary Regina Boland, MA, Department of Biomedical Informatics, Columbia University
Matthew K. Breitenstein, PhD, Department of Health Sciences Research, Mayo Clinic
The PubMed citation for the paper under discussion is:
Tourassi G, Yoon HJ, Xu S, Han X. The utility of web mining for epidemiological research: studying the association between parity and cancer risk. J Am Med Inform Assoc. 2015 Nov 27. pii: ocv141. doi: 10.1093/jamia/ocv141. [Epub ahead of print]
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Statement of Purpose
The World Wide Web has emerged as a powerful data source for epidemiological studies related to infectious disease surveillance. However, its potential for cancer-related epidemiological discoveries is largely unexplored.
The Tourassi et al. study evaluated the feasibility of web mining as a big data-driven knowledge discovery mechanism for exploring the association between parity, defined as the number of births a woman has had, and cancer risk. By comparing study findings with the findings reported in traditional epidemiological studies, the authors examined the feasibility, reliability, and limitations of web mining for epidemiological discoveries in cancer.
It may be promising for data scientists to use this strategy to generate study hypotheses for guiding and prioritizing future epidemiological studies.
The target audience for this activity is professionals and students interested in biomedical and health informatics.
After this live activity, the participant should be better able to:
- Explore the strategy of using a web mining approach to generate study hypotheses for epidemiological studies.
Georgia D. Tourassi, PhD
Biomedical Sciences and Engineering Center
Computational Sciences and Engineering Division
Oak Ridge National Laboratory
Oak Ridge, TN
The American Medical Informatics Association is accredited by the Accreditation Council for Continuing Medical Education to provide continuing medical education for physicians.
Credit Designation Statement
The American Medical Informatics Association designates this live activity for a maximum of 1 AMA PRA Category 1 Credit(s). Physicians should claim only the credit commensurate with the extent of their participation in the activity.
Criteria for Successful Completion
Completion of this live activity is demonstrated by:
- Viewing the live webinar
- Optional submission of questions via webinar feature; option to follow @AMIAinformatics and tweet via #JAMIAJC
- Completion of the evaluation survey at https://www.surveymonkey.com/r/JJC_Jan2016 and
- Verification of attendance through the participant's electronic report through the individual login at www.amia.org.
The physician participant will be able to generate a CME certificate through the AMIA automated system.
For a certificate of completion, contact Pesha@amia.org.
No commercial support was received for this activity.
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The ACCME considers relationships of the person involved in the CME activity to include financial relationships of a spouse or partner.
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Disclosures for this Activity
These faculty, planners, and staff who are in a position to control the content of this activity disclose that they and their life partners have no relevant financial relationships with commercial interests:
Faculty: Georgia Tourassi
JAMIA Journal Club planners: Mary Regina Boland, Matthew Breitenstein
AMIA staff: Susanne Arnold, Pesha Rubinstein
JAMIA Journal Club planner Michael Chiang discloses the following:
- Received Grant/Research support from the National Institutes of Health
- Is an unpaid member of the Scientific Advisory Board of Clarity Medical Systems
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