The AMIA Clinical Research Informatics Distinguished Paper Award will be given on an annual basis to the paper determined to be most meritorious out of all papers submitted to the CRI Summit. The ability to recognize exemplary CRI scholarship provides both an incentive for individuals working in the CRI domain to submit their best work to AMIA meetings, to become active AMIA members by engaging in other AMIA CRI-related activities. In addition, this award provides a mechanism of enhancing the ability of the association to recognize thought leaders in the CRI domain.
Exploring the Hazards of Scaling Up Clinical Data Analyses: A Drug Side Effect Discovery Case Report
F. Diaz-Garelli, University of North Carolina at Charlotte; T. Johnson, M. Rahbar, E. Bernstam, University of Texas Health Science Center at Houston
Mental Health Severity Detection from Psychological Forum Data Using Domain-specific Unlabeled Data
Braja Gopal Patra, The University of Texas Health Science Center at Houston; Reshma Kar, Jadavpur University; Kirk Roberts, Hulin Wu, The University of Texas Health Science Center at Houston
Determining Onset for Familial Breast and Colorectal Cancer from Family History Comments in the Electronic Health Record”
Danielle Mowery, University of Utah/Veterans Affairs/University of Pennsylvania; Kensaku Kawamoto, Richard L. Bradshaw, Wendy Kohlmann, Damian Borbolla, Joshua Schiffman, Wendy Chapman, Guilherme Del Fiol, University of Utah
Memory-augmented Active Deep Learning for Identifying Relations Between Medical Concepts in Electroencephalography Reports
Ramon Maldonado, Travis Goodwin, Sandra Harabagiu, University of Texas at Dallas
Memory-Augmented Active Deep Learning for Identifying Relations Between Distant Medical Concepts in Electroencephalography Reports
Ramon Maldonado, Travis R. Goodwin, and Sanda M. Harabagiu
How Have Cancer Clinical Trial Eligibility Criteria Evolved Over Time?
Anil Yaman, Shreya Chakrabarti, Anando Sen, Chunhua Weng, Columbia University
A Prototype for Executable and Portable Electronic Clinical Quality Measures Using the KNIME Analytics Platform
Huan Mo, Jennifer A. Pacheco, Luke V. Rasmussen, Peter Speltz, Jyotishman Pathak, Joshua C. Denny, and William K. Thompson; Vanderbilt University, Northwestern University, Mayo Clinic, and North Shore University Health System
Simplifying Complex Clinical Element Models to Encourage Adoption
Robert R. Freimuth, Qian Zhu, Jyotishman Pathak, and Christopher Chute, Mayo Clinic
Identifying Inference Attacks against Healthcare Data Repositories.
Evaluating Alert Fatigue and Response Patterns to EHR-based Clinical Trial Alerts: Findings from a Randomized, Controlled Study.
Peter J. Embi, MD, MS1; Anthony Leonard. J Am Med Inform Assoc 2011; in press