Gregory F. Cooper
According to our database1,
Gregory F. Cooper
authored at least 172 papers
between 1987 and 2024.
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Bibliography
2024
2023
A voice-based digital assistant for intelligent prompting of evidence-based practices during ICU rounds.
J. Biomed. Informatics, October, 2023
A new method for estimating the probability of causal relationships from observational data: Application to the study of the short-term effects of air pollution on cardiovascular and respiratory disease.
Artif. Intell. Medicine, May, 2023
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
2022
An individualized causal framework for learning intercellular communication networks that define microenvironments of individual tumors.
PLoS Comput. Biol., December, 2022
2021
Bayesian network models with decision tree analysis for management of childhood malaria in Malawi.
BMC Medical Informatics Decis. Mak., 2021
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021
Proceedings of the MEDINFO 2021: One World, One Health - Global Partnership for Digital Innovation, 2021
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021
2020
Explicit representation of protein activity states significantly improves causal discovery of protein phosphorylation networks.
BMC Bioinform., 2020
Appl. Clin. Inform., 2020
An Instance-Specific Algorithm for Learning the Structure of Causal Bayesian Networks Containing Latent Variables.
Proceedings of the 2020 SIAM International Conference on Data Mining, 2020
Proceedings of the 2020 KDD Workshop on Causal Discovery (CD@KDD 2020), 2020
Proceedings of the AMIA 2020, 2020
Proceedings of the Artificial Intelligence in Medicine, 2020
2019
Systematic discovery of the functional impact of somatic genome alterations in individual tumors through tumor-specific causal inference.
PLoS Comput. Biol., 2019
J. Biomed. Informatics, 2019
Proceedings of the 2019 ACM SIGKDD Workshop on Causal Discovery, 2019
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
Insights from a dissertation on the development of a Learning Electronic Medical Record System: data-driven, context-aware learning.
Proceedings of the AMIA 2019, 2019
2018
Binary classifier calibration using an ensemble of piecewise linear regression models.
Knowl. Inf. Syst., 2018
Proceedings of the International Conference on Probabilistic Graphical Models, 2018
Using Machine Learning to Predict the Information Seeking Behavior of Clinicians Using an Electronic Medical Record System.
Proceedings of the AMIA 2018, 2018
Design of a Learning Electronic Medical Record: A Qualitative Study of ICU Clinicians' Information Needs and Practices.
Proceedings of the AMIA 2018, 2018
2017
J. Biomed. Informatics, 2017
CoRR, 2017
The effects of natural language processing on cross-institutional portability of influenza case detection for disease surveillance.
Appl. Clin. Inform., 2017
Discovery of Causal Models that Contain Latent Variables Through Bayesian Scoring of Independence Constraints.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017
Eye-tracking for clinical decision support: A method to capture automatically what physicians are viewing in the EMR.
Proceedings of the Summit on Clinical Research Informatics, 2017
Proceedings of the AMIA 2017, 2017
2016
An efficient pattern mining approach for event detection in multivariate temporal data.
Knowl. Inf. Syst., 2016
J. Biomed. Informatics, 2016
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016
Proceedings of the IEEE 16th International Conference on Data Mining, 2016
2015
Comparison of machine learning classifiers for influenza detection from emergency department free-text reports.
J. Biomed. Informatics, 2015
A method for detecting and characterizing outbreaks of infectious disease from clinical reports.
J. Biomed. Informatics, 2015
J. Am. Medical Informatics Assoc., 2015
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2015
Proceedings of the Advances in Intelligent Data Analysis XIV, 2015
Development and Preliminary Evaluation of a Prototype of a Learning Electronic Medical Record System.
Proceedings of the AMIA 2015, 2015
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
2014
Proceedings of the AMIA 2014, 2014
2013
ACM Trans. Intell. Syst. Technol., 2013
A method for estimating from thermometer sales the incidence of diseases that are symptomatically similar to influenza.
J. Biomed. Informatics, 2013
Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence (1998)
CoRR, 2013
CoRR, 2013
An Empirical Analysis of Likelihood-Weighting Simulation on a Large, Multiply-Connected Belief Network
CoRR, 2013
Kutato: An Entropy-Driven System for Construction of Probabilistic Expert Systems from Databases
CoRR, 2013
An Evaluation of an Algorithm for Inductive Learning of Bayesian Belief Networks Usin
CoRR, 2013
CoRR, 2013
Proceedings of the AMIA 2013, 2013
Proceedings of the AMIA 2013, 2013
Proceedings of the Late-Breaking Developments in the Field of Artificial Intelligence, 2013
2012
Improving the Prediction of Clinical Outcomes from Genomic Data Using Multiresolution Analysis.
IEEE ACM Trans. Comput. Biol. Bioinform., 2012
BMC Medical Informatics Decis. Mak., 2012
Multivariate Bayesian modeling of known and unknown causes of events - An application to biosurveillance.
Comput. Methods Programs Biomed., 2012
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012
Proceedings of the ACM International Health Informatics Symposium, 2012
A Decision-Theoretic Model of Disease Surveillance and Control and a Prototype Implementation for the Disease Influenza.
Proceedings of the Workshops Proceedings of the IEEE 28th International Conference on Data Engineering, 2012
2011
The application of naive Bayes model averaging to predict Alzheimer's disease from genome-wide data.
J. Am. Medical Informatics Assoc., 2011
BMC Bioinform., 2011
Proceedings of the 11th IEEE International Conference on Data Mining, 2011
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2011
2010
A multivariate Bayesian scan statistic for early event detection and characterization.
Mach. Learn., 2010
J. Biomed. Informatics, 2010
J. Am. Medical Informatics Assoc., 2010
Int. J. Approx. Reason., 2010
A real-time temporal Bayesian architecture for event surveillance and its application to patient-specific multiple disease outbreak detection.
Data Min. Knowl. Discov., 2010
2009
Proceedings of the AMIA 2009, 2009
Proceedings of the AMIA 2009, 2009
2008
Modeling the Temporal Trend of the Daily Severity of an Outbreak Using Bayesian Networks.
Proceedings of the Innovations in Bayesian Networks: Theory and Applications, 2008
Proceedings of the Causation and Prediction Challenge at WCCI 2008, 2008
Estimating the joint disease outbreak-detection time when an automated biosurveillance system is augmenting traditional clinical case finding.
J. Biomed. Informatics, 2008
J. Biomed. Informatics, 2008
Hierarchical explanation of inference in Bayesian networks that represent a population of independent agents.
Proceedings of the ECAI 2008, 2008
Analysis of a Failed Clinical Decision Support System for Management of Congestive Heart Failure.
Proceedings of the AMIA 2008, 2008
2007
Proceedings of the Intelligence and Security Informatics: Biosurveillance, 2007
Proceedings of the AMIA 2007, 2007
Proceedings of the AMIA 2007, 2007
2006
A control study to evaluate a computer-based microarray experiment design recommendation system for gene-regulation pathways discovery.
J. Biomed. Informatics, 2006
Proceedings of the UAI '06, 2006
2005
What's Strange About Recent Events (WSARE): An Algorithm for the Early Detection of Disease Outbreaks.
J. Mach. Learn. Res., 2005
J. Biomed. Informatics, 2005
Viewpoint Paper: Accelerating U.S. EHR Adoption: How to Get There From Here. Recommendations Based on the 2004 ACMI Retreat.
J. Am. Medical Informatics Assoc., 2005
Editorial Comments: Defining a Workable Strategy to Stimulate Widespread Adoption of Electronic Health Records in the United States.
J. Am. Medical Informatics Assoc., 2005
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005
Patient-Specific Models for Predicting the Outcomes of Patients with Community Acquired Pneumonia.
Proceedings of the AMIA 2005, 2005
Proceedings of the AMIA 2005, 2005
Deriving the Expected Utility of a Predictive Model When the Utilities Are Uncertain.
Proceedings of the AMIA 2005, 2005
2004
J. Mach. Learn. Res., 2004
An evaluation of a system that recommends microarray experiments to perform to discover gene-regulation pathways.
Artif. Intell. Medicine, 2004
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004
Proceedings of the MEDINFO 2004, 2004
An Bayesian Method for Biological Pathway Discovery from High-Throughput Experimental Data.
Proceedings of the 3rd International IEEE Computer Society Computational Systems Bioinformatics Conference, 2004
2003
Research Paper: Creating a Text Classifier to Detect Radiology Reports Describing Mediastinal Findings Associated with Inhalational Anthrax and Other Disorders.
J. Am. Medical Informatics Assoc., 2003
Proceedings of the Machine Learning, 2003
A Computer-Based Microarray Experiment Design-System for Gene-Regulation Pathway Discovery.
Proceedings of the AMIA 2003, 2003
Detecting Adverse Drug Events in Discharge Summaries Using Variations on the Simple Bayes Model.
Proceedings of the AMIA 2003, 2003
Proceedings of the Ninth International Workshop on Artificial Intelligence and Statistics, 2003
2002
Proceedings of the UAI '02, 2002
Discovery of Causal Relationships in a Gene-Regulation Pathway from a Mixture of Experimental and Observational DNA Microarray Data.
Proceedings of the 7th Pacific Symposium on Biocomputing, 2002
Exact model averaging with naive Bayesian classifiers.
Proceedings of the Machine Learning, 2002
Proceedings of the AMIA 2002, 2002
Proceedings of the AMIA 2002, 2002
Proceedings of the Eighteenth National Conference on Artificial Intelligence and Fourteenth Conference on Innovative Applications of Artificial Intelligence, July 28, 2002
2001
A Simple Algorithm for Identifying Negated Findings and Diseases in Discharge Summaries.
J. Biomed. Informatics, 2001
IPS: A System That Uses Machine Learning to Help Locate Patient Records for Clinical Research.
Proceedings of the AMIA 2001, 2001
Proceedings of the AMIA 2001, 2001
Proceedings of the Eighth International Workshop on Artificial Intelligence and Statistics, 2001
Proceedings of the Eighth International Workshop on Artificial Intelligence and Statistics, 2001
Proceedings of the Eighth International Workshop on Artificial Intelligence and Statistics, 2001
2000
Proceedings of the UAI '00: Proceedings of the 16th Conference in Uncertainty in Artificial Intelligence, Stanford University, Stanford, California, USA, June 30, 2000
Predicting ICU mortality: a comparison of stationary and nonstationary temporal models.
Proceedings of the AMIA 2000, 2000
A Retrospective Study of the Effect of a Prognostic Model on the Hospital Admission Decision for Patients with Low Risk Community-acquired Pneumonia.
Proceedings of the AMIA 2000, 2000
1999
A Bayesian Network Classifier that Combines a Finite Mixture Model and a NaIve Bayes Model.
Proceedings of the UAI '99: Proceedings of the Fifteenth Conference on Uncertainty in Artificial Intelligence, Stockholm, Sweden, July 30, 1999
Proceedings of the UAI '99: Proceedings of the Fifteenth Conference on Uncertainty in Artificial Intelligence, Stockholm, Sweden, July 30, 1999
Proceedings of the AMIA 1999, 1999
Proceedings of the Seventh International Workshop on Artificial Intelligence and Statistics, 1999
Proceedings of the Seventh International Workshop on Artificial Intelligence and Statistics, 1999
Proceedings of the Sixteenth National Conference on Artificial Intelligence and Eleventh Conference on Innovative Applications of Artificial Intelligence, 1999
1998
Research Paper: An Experiment Comparing Lexical and Statistical Methods for Extracting MeSH Terms from Clinical Free Text.
J. Am. Medical Informatics Assoc., 1998
Proceedings of the UAI '98: Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence, 1998
The impact of modeling the dependencies among patient findings on classification accuracy and calibration.
Proceedings of the AMIA 1998, 1998
Using computer modeling to help identify patient subgroups in clinical data repositories.
Proceedings of the AMIA 1998, 1998
Temporal representation design principles: an assessment in the domain of liver transplantation.
Proceedings of the AMIA 1998, 1998
Proceedings of the Learning in Graphical Models, 1998
1997
A Simple Constraint-Based Algorithm for Efficiently Mining Observational Databases for Causal Relationships.
Data Min. Knowl. Discov., 1997
Representing and developing temporally abstracted knowledge as a means towards facilitating time modeling in medical decision-support systems.
Comput. Biol. Medicine, 1997
Artif. Intell. Medicine, 1997
INKBLOT: A neurological diagnostic decision support system integrating causal and anatomical knowledge.
Artif. Intell. Medicine, 1997
1996
Bounded recursive decomposition: a search-based method for belief-network inference under limited resources.
Int. J. Approx. Reason., 1996
A Structurally and Temporally Extended Bayesian Belief Network Model: Definitions, Properties, and Modeling Techniques.
Proceedings of the UAI '96: Proceedings of the Twelfth Annual Conference on Uncertainty in Artificial Intelligence, 1996
Proceedings of the Advances in Neural Information Processing Systems 9, 1996
1995
J. Intell. Inf. Syst., 1995
1994
An Evaluation of an Algorithm for Inductive Learning of Bayesian Belief Networks Using Simulated Data Sets.
Proceedings of the UAI '94: Proceedings of the Tenth Annual Conference on Uncertainty in Artificial Intelligence, 1994
1993
Artif. Intell. Medicine, 1993
1992
Mach. Learn., 1992
1991
Int. J. Approx. Reason., 1991
Artif. Intell., 1991
Proceedings of the UAI '91: Proceedings of the Seventh Annual Conference on Uncertainty in Artificial Intelligence, 1991
1990
A randomized approximation algorithm for probabilistic inference on bayesian belief networks.
Networks, 1990
Int. J. Approx. Reason., 1990
Artif. Intell. Medicine, 1990
The Computational Complexity of Probabilistic Inference Using Bayesian Belief Networks.
Artif. Intell., 1990
A combination of cutset conditioning with clique-tree propagation in the Pathfinder system.
Proceedings of the UAI '90: Proceedings of the Sixth Annual Conference on Uncertainty in Artificial Intelligence, 1990
an entropy-driven system for construction of probabilistic expert systems from databases.
Proceedings of the UAI '90: Proceedings of the Sixth Annual Conference on Uncertainty in Artificial Intelligence, 1990
1989
Proceedings of the UAI '89: Proceedings of the Fifth Annual Conference on Uncertainty in Artificial Intelligence, 1989
Reflection and Action Under Scarce Resources: Theoretical Principles and Empirical Study.
Proceedings of the 11th International Joint Conference on Artificial Intelligence. Detroit, 1989
The ALARM Monitoring System: A Case Study with two Probabilistic Inference Techniques for Belief Networks.
Proceedings of the AIME 89, 1989
1988
An algorithm for computing probabilistic propositions.
Int. J. Approx. Reason., 1988
Stochastic simulation of Bayesian belief networks.
Int. J. Approx. Reason., 1988
KNET: integrating hypermedia and normative bayesian modeling.
Proceedings of the UAI '88: Proceedings of the Fourth Annual Conference on Uncertainty in Artificial Intelligence, 1988
1987
Proceedings of the UAI '87: Proceedings of the Third Annual Conference on Uncertainty in Artificial Intelligence, 1987