Institution Wide QT Alert System Identifies Patients with High Risk of Mortality

submitted by: WentzMR
Available at: http://tinyurl.com/a8c9wum Dr. Michael Ackerman, the Windland Smith Rice Cardiovascular Genomics Research Professor and Professor of Medicine, Pediatrics and Pharmacology, and Dr. Pedro Caraballo, Assistant Professor of Medicine from Mayo Clinic in Rochester, MN, assess the outcome of a study appearing in the April 2013 issue of Mayo Clinic Proceedings regarding the development of an institution wide QT alert system and the mortality rates across diverse patient populations...

Probability of an Algorithm to Identify Rheumatoid Arthritis in Electronic Health Records

submitted by: Jamia
Abstract Objectives: Electronic health record (EHR) can allow for the generation of large cohort of individuals with given diseases for clinical and genomic research. A rate-limiting step is the development of electronic phenotype selection algorithms to find such cohorts. This study evaluated the portability of a published phenotype algorithm to identify rheumatoid arthritis (RA) patients from HER records at three institutions with different EHR systems. Material and Methods: Physicians...

A Pseudo-Boolean Programming Approach for Computing the Breakpoint Distance Between Two Genomes with Duplicate Genes

submitted by: dougramsey

Annelyse Thevenin argues that the best approach to calculating breakpoint distance between two genomes with duplicate genes is by using Pseudo-Boolean Programming.