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AMIA Joint Summits on Translational Science Proceedings. AMIA Joint Summits on Translational Science
|
August 18, 2017
Eye-tracking for clinical decision support: A method to capture automatically what physicians are viewing in the EMR
Andrew J King, Harry Hochheiser, Shyam Visweswaran, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium
|
March 10, 2016
Development and Preliminary Evaluation of a Prototype of a Learning Electronic Medical Record System
Andrew J King, Gregory F Cooper, Harry Hochheiser, et al.
Briefings in Bioinformatics
|
September 21, 2025
IBI-DT: a novel approach combining individualized Bayesian inference and decision tree for identifying cancer drivers and their interactions
Md Asad Rahman, Gregory F Cooper, Jinying Zhao, et al.
Journal of Biomedical Informatics
|
September 5, 2012
Outlier detection for patient monitoring and alerting
Milos Hauskrecht, Iyad Batal, Michal Valko, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium
|
February 25, 2011
Conditional outlier detection for clinical alerting
Milos Hauskrecht, Michal Valko, Iyad Batal, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium
|
February 25, 2011
A fast algorithm for learning epistatic genomic relationships
Xia Jiang, Richard E Neapolitan, M Michael Barmada, et al.
Molecular Cancer Research : MCR
|
November 15, 2017
Precision Oncology beyond Targeted Therapy: Combining Omics Data with Machine Learning Matches the Majority of Cancer Cells to Effective Therapeutics
Michael Q Ding, Lujia Chen, Gregory F Cooper, et al.
Journal of Biomedical Informatics
|
January 2, 2008
Evaluation of preprocessing techniques for chief complaint classification
Jagan Dara, John N Dowling, Debbie Travers, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium
|
March 1, 2019
Using Machine Learning to Predict the Information Seeking Behavior of Clinicians Using an Electronic Medical Record System
Andrew J King, Gregory F Cooper, Harry Hochheiser, et al.
Journal of Biomedical Informatics
|
May 11, 2010
Learning patient-specific predictive models from clinical data
Shyam Visweswaran, Derek C Angus, Margaret Hsieh, et al.
Page
of 11
Search research articles
Search
Showing results (51-60 of 107) with videos related to
Sort By:
Page
of 11
AMIA Joint Summits on Translational Science Proceedings. AMIA Joint Summits on Translational Science
|
August 18, 2017
Eye-tracking for clinical decision support: A method to capture automatically what physicians are viewing in the EMR
Andrew J King, Harry Hochheiser, Shyam Visweswaran, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium
|
March 10, 2016
Development and Preliminary Evaluation of a Prototype of a Learning Electronic Medical Record System
Andrew J King, Gregory F Cooper, Harry Hochheiser, et al.
Briefings in Bioinformatics
|
September 21, 2025
IBI-DT: a novel approach combining individualized Bayesian inference and decision tree for identifying cancer drivers and their interactions
Md Asad Rahman, Gregory F Cooper, Jinying Zhao, et al.
Journal of Biomedical Informatics
|
September 5, 2012
Outlier detection for patient monitoring and alerting
Milos Hauskrecht, Iyad Batal, Michal Valko, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium
|
February 25, 2011
Conditional outlier detection for clinical alerting
Milos Hauskrecht, Michal Valko, Iyad Batal, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium
|
February 25, 2011
A fast algorithm for learning epistatic genomic relationships
Xia Jiang, Richard E Neapolitan, M Michael Barmada, et al.
Molecular Cancer Research : MCR
|
November 15, 2017
Precision Oncology beyond Targeted Therapy: Combining Omics Data with Machine Learning Matches the Majority of Cancer Cells to Effective Therapeutics
Michael Q Ding, Lujia Chen, Gregory F Cooper, et al.
Journal of Biomedical Informatics
|
January 2, 2008
Evaluation of preprocessing techniques for chief complaint classification
Jagan Dara, John N Dowling, Debbie Travers, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium
|
March 1, 2019
Using Machine Learning to Predict the Information Seeking Behavior of Clinicians Using an Electronic Medical Record System
Andrew J King, Gregory F Cooper, Harry Hochheiser, et al.
Journal of Biomedical Informatics
|
May 11, 2010
Learning patient-specific predictive models from clinical data
Shyam Visweswaran, Derek C Angus, Margaret Hsieh, et al.
Page
of 11