April 18, 2014: iDASH External Webinar; Razvan Bunescu

submitted by: ucsd_idash
Blood Glucose Level Prediction using Physiological Models and Support Vector Regression Razvan Bunescu Ohio University, School of Electrical Engineering and Computer Science Abstract: Patients with diabetes must continually monitor their blood glucose levels and adjust insulin doses, striving to keep blood glucose levels as close to normal as possible. Blood glucose levels that deviate from the normal range can lead to serious short-term and long-term complications. An automatic...

Masaru Nobu at the 2014 DOE JGI Genomics of Energy & Environment Meeting

submitted by: JGI

Masaru Nobu, University of Illinois at Urbana-Champaign, speaking at the 9th Annual Genomics of Energy & Environment Meeting on March 19, 2014 in Walnut Creek, Calif.

Mary Berbee at the 2014 DOE JGI Genomics of Energy & Environment Meeting

submitted by: JGI

Mary Berbee, University of British Columbia, Canada, speaking at the 9th Annual Genomics of Energy & Environment Meeting on March 19, 2014 in Walnut Creek, Calif.

4/3/2014 iDASH Informatics Open Access Journal Club

submitted by: ucsd_idash
HUGO: Hierarchical mUlti-reference Genome cOmpression for aligned reads Pinghao Li, Xiaoqian Jiang, Shuang Wang, Jihoon Kim, Hongkai Xiong, Lucila Ohno-Machado J Am Med Inform Assoc doi:10.1136/amiajnl-2013-002147 Xiaoqian Jiang and Shuang Wang Division of Biomedical Informatics, University of California San Diego The proposed method produced a compression ratio in the range 0.5–0.65, which corresponds to 35–50% storage savings based on experimental datasets. The proposed...

March 6, 2014. Informatics Journal Club; Caitanya Shivade

submitted by: ucsd_idash
A review of approaches to identifying patient phenotype cohorts using electronic health records Shivade C, Raghavan P, Fosler-Lussier E, Embi PJ, Elhadad N, Johnson SB, Lai AM. J Am Med Inform Assoc. 2014 Mar 1;21(2):221-30. doi: 10.1136/amiajnl-2013-001935. Epub 2013 Nov 7. Chaitanya Shivade The Ohio State University We observe that there is a rise in the number of studies associated with cohort identification using electronic medical records. Statistical analyses or machine...

3/3/14 Special External Webinar: Cardiac Atlas Project

submitted by: ucsd_idash
Cardiac Atlas Project Alistair Young School of Medicine, University of Auckland Andrew McCulloch University of California San Diego Abstract: Cardiac malformations are the most common type of birth defect. Improvements in the management of complex congenital heart disease (CHD) have resulted in >90% of those born with CHD now able to survive into early adulthood. In the U.S. alone, there are more adults with CHD (~1 million individuals) than children. Many of these patients...