G. Cooper

Gregory F Cooper, Donald M Yealy, Roslyn A Stone, 2005, Academic emergency medicine : official journal of the Society for Academic Emergency Medicine.

A Bayesian system to detect and characterize overlapping outbreaks

Ye Ye, Peter J. Haug, Gregory F. Cooper, 2017, J. Biomed. Informatics.

Conditional outlier detection for clinical alerting.

Gregory F Cooper, Milos Hauskrecht, Shyam Visweswaran, 2010, AMIA ... Annual Symposium proceedings. AMIA Symposium.

A method for estimating from thermometer sales the incidence of diseases that are symptomatically similar to influenza

Gregory F. Cooper, Ricardo Villamarín-Salomón, Michael M. Wagner, 2013, J. Biomed. Informatics.

Tumor-specific Causal Inference (TCI): A Bayesian Method for Identifying Causative Genome Alterations within Individual Tumors

Gregory F. Cooper, Xinghua Lu, Chunhui Cai, 2017, bioRxiv.

A Simulation Study of Three Related Causal Data Mining Algorithms

Gregory F. Cooper, Subramani Mani, G. Cooper, 2001, AISTATS.

Causal discovery from medical textual data

Gregory F. Cooper, Subramani Mani, G. Cooper, 2000, AMIA.

Human causal discovery from observational data.

A I Hashem, G F Cooper, G. Cooper, 1996, Proceedings : a conference of the American Medical Informatics Association. AMIA Fall Symposium.

Application of Bayesian Logistic Regression to Mining Biomedical Data

Gregory F. Cooper, Vanathi Gopalakrishnan, Viji R. Avali, 2014, AMIA.

An evaluation of machine-learning methods for predicting pneumonia mortality

Constantin F. Aliferis, Tom M. Mitchell, Rich Caruana, 1997, Artif. Intell. Medicine.

Using computer modeling to help identify patient subgroups in clinical data repositories

Bruce G. Buchanan, Gregory F. Cooper, Mehmet Kayaalp, 1998, AMIA.

Comparison of machine learning classifiers for influenza detection from emergency department free-text reports

Ye Ye, Shyam Visweswaran, Gregory F. Cooper, 2015, J. Biomed. Informatics.

Detecting Adverse Drug Events in Discharge Summaries Using Variations on the Simple Bayes Model

Shyam Visweswaran, Gregory F. Cooper, Paul Hanbury, 2003, AMIA.

A Simple Algorithm for Identifying Negated Findings and Diseases in Discharge Summaries

Wendy W. Chapman, Bruce G. Buchanan, Gregory F. Cooper, 2001, J. Biomed. Informatics.

Selective Model Averaging with Bayesian Rule Learning for Predictive Biomedicine

Shyam Visweswaran, Gregory F. Cooper, Vanathi Gopalakrishnan, 2014, AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science.

Improving the Prediction of Clinical Outcomes from Genomic Data Using Multiresolution Analysis

Pablo H. Hennings-Yeomans, Gregory F. Cooper, G. Cooper, 2012, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Learning dynamic bayesian network structures from data

Mehmet Kayaalp, Gregory F. Cooper, G. Cooper, 2003 .

Outlier detection for patient monitoring and alerting

Gilles Clermont, Milos Hauskrecht, Shyam Visweswaran, 2013, J. Biomed. Informatics.

Viewpoint Paper: Accelerating U.S. EHR Adoption: How to Get There From Here. Recommendations Based on the 2004 ACMI Retreat

Blackford Middleton, William Edward Hammond, Gregory F. Cooper, 2005, J. Am. Medical Informatics Assoc..

Analysis of a Failed Clinical Decision Support System for Management of Congestive Heart Failure

Shyam Visweswaran, Wendy W. Chapman, Gregory F. Cooper, 2008, AMIA.

An evaluation of a system that recommends microarray experiments to perform to discover gene-regulation pathways

Gregory F. Cooper, Changwon Yoo, G. Cooper, 2004, Artif. Intell. Medicine.

Issues in applied statistics for public health bioterrorism surveillance using multiple data streams: research needs

Gregory F Cooper, Weng-Keen Wong, David Madigan, 2007, Statistics in medicine.

A New Prior for Bayesian Anomaly Detection

G F Cooper, Y Shen, G. Cooper, 2009, Methods of Information in Medicine.

A Bayesian Scoring Technique for Mining Predictive and Non-Spurious Rules

Milos Hauskrecht, Gregory F. Cooper, Iyad Batal, 2012, ECML/PKDD.

Model Averaging for Prediction with Discrete Bayesian Networks

Gregory F. Cooper, Denver Dash, G. Cooper, 2004, J. Mach. Learn. Res..

The 1990 AAAI Spring Symposium on Artificial Intelligence in Medicine

Gregory F. Cooper, Mark A. Musen, G. Cooper, 1990, Artif. Intell. Medicine.

Modeling physician variability to prioritize relevant medical record information

Dean F. Sittig, D. F. Sittig, M. Hauskrecht, 2020, medRxiv.

Computer-Based Medical Diagnosis Using Belief Networks and Bounded Probabilities

Gregory F. Cooper, G. Cooper, 1988 .

Binary Classifier Calibration Using an Ensemble of Near Isotonic Regression Models

Mahdi Pakdaman Naeini, Gregory F. Cooper, G. Cooper, 2015, 2016 IEEE 16th International Conference on Data Mining (ICDM).

Data-driven identification of unusual clinical actions in the ICU

Gilles Clermont, Milos Hauskrecht, Shyam Visweswaran, 2013, AMIA.

Binary Classifier Calibration: Non-parametric approach pdf

Milos Hauskrecht, Mahdi Pakdaman Naeini, Gregory F. Cooper, 2014, ArXiv.

Binary Classifier Calibration Using an Ensemble of Linear Trend Estimation

Mahdi Pakdaman Naeini, Gregory F. Cooper, G. Cooper, 2016, SDM.

Building a medical multimedia database system to integrate clinical information: an application of high-performance computing and communications technology.

G F Cooper, B G Buchanan, J K Vries, 1995, Bulletin of the Medical Library Association.

Algorithms for Bayesian Belief-Network Precomputation

G F Cooper, E H Herskovits, G. Cooper, 1991, Methods of Information in Medicine.

Scoring Bayesian networks of mixed variables

Gregory F. Cooper, Joseph Ramsey, Bryan Andrews, 2018, International Journal of Data Science and Analytics.

Eye-tracking for clinical decision support: A method to capture automatically what physicians are viewing in the EMR

Gilles Clermont, Shyam Visweswaran, Harry Hochheiser, 2017, CRI.

A real-time temporal Bayesian architecture for event surveillance and its application to patient-specific multiple disease outbreak detection

Gregory F. Cooper, Xia Jiang, G. Cooper, 2010, Data Mining and Knowledge Discovery.

What's Strange About Recent Events (WSARE): An Algorithm for the Early Detection of Disease Outbreaks

Andrew W. Moore, Weng-Keen Wong, Gregory F. Cooper, 2005, J. Mach. Learn. Res..

Bayesian Network Anomaly Pattern Detection for Disease Outbreaks

Andrew W. Moore, Weng-Keen Wong, Gregory F. Cooper, 2003, ICML.

Representing and developing temporally abstracted knowledge as a means towards facilitating time modeling in medical decision-support systems

G F Cooper, M M Wagner, B G Buchanan, 1997, Comput. Biol. Medicine.

A new formalism for temporal modeling in medical decision-support systems.

G F Cooper, C F Aliferis, G. Cooper, 1995, Proceedings. Symposium on Computer Applications in Medical Care.

Conditional Outlier Approach for Detection of Unusual Patient Care Actions

Gilles Clermont, Milos Hauskrecht, Shyam Visweswaran, 2013, AAAI.

Conditional Anomaly Detection with Soft Harmonic Functions

Milos Hauskrecht, Michal Valko, Gregory F. Cooper, 2011, 2011 IEEE 11th International Conference on Data Mining.

Learning Hybrid Bayesian Networks from Data

Gregory F. Cooper, Stefano Monti, G. Cooper, 1999, Learning in Graphical Models.

Graphical Presentations of Clinical Data in a Learning Electronic Medical Record

Gregory F Cooper, Harry Hochheiser, Shyam Visweswaran, 2020, Applied Clinical Informatics.

A Theoretical Study of Y Structures for Causal Discovery pdf

Gregory F. Cooper, Peter Spirtes, Subramani Mani, 2006, UAI.

A Simple Constraint-Based Algorithm for Efficiently Mining Observational Databases for Causal Relationships

Gregory F. Cooper, G. Cooper, 1997, Data Mining and Knowledge Discovery.

The effects of natural language processing on cross-institutional portability of influenza case detection for disease surveillance

Ye Ye, Gregory F Cooper, Peter J Haug, 2017, Applied Clinical Informatics.

Bounded recursive decomposition: a search-based method for belief-network inference under limited resources

Gregory F. Cooper, Stefano Monti, G. Cooper, 1996, Int. J. Approx. Reason..

A combination of cutset conditioning with clique-tree propagation in the Pathfinder system pdf

David Heckerman, Gregory F. Cooper, Henri Jacques Suermondt, 1990, UAI.

Learning Latent Causal Structures with a Redundant Input Neural Network

G. Cooper, Jonathan D. Young, Xinghua Lu, 2020, CD@KDD.

A Bayesian Network Scoring Metic that Is Based on Globally Uniform Parameter Priors pdf

Gregory F. Cooper, Mehmet Kayaalp, G. Cooper, 2002, UAI.

Learning Bayesian Belief Networks with Neural Network Estimators

Gregory F. Cooper, Stefano Monti, G. Cooper, 1996, NIPS.

Current research directions in the development of expert systems based on belief networks

Gregory F. Cooper, G. Cooper, 1989 .

An Empirical Investigation of Instance-Specific Causal Bayesian Network Learning

Shyam Visweswaran, Gregory F. Cooper, Fattaneh Jabbari, 2019, 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

An Instance-Specific Algorithm for Learning the Structure of Causal Bayesian Networks Containing Latent Variables

Gregory F. Cooper, Fattaneh Jabbari, G. Cooper, 2020, SDM.

A Bayesian spatio-temporal method for disease outbreak detection

Gregory F. Cooper, Xia Jiang, G. Cooper, 2010, J. Am. Medical Informatics Assoc..

A multivariate Bayesian scan statistic for early event detection and characterization

Gregory F. Cooper, Daniel B. Neill, G. Cooper, 2010, Machine Learning.

A Bayesian Spatial Scan Statistic

Andrew W. Moore, Gregory F. Cooper, Daniel B. Neill, 2005, NIPS.

A Bayesian method for learning belief networks that contain hidden variables

Gregory F. Cooper, G. Cooper, 1993, Journal of Intelligent Information Systems.

KNET: integrating hypermedia and normative bayesian modeling

Gregory F. Cooper, R. Martin Chavez, R. M. Chavez, 1988, UAI.

An efficient pattern mining approach for event detection in multivariate temporal data

G. Cooper, M. Hauskrecht, Dmitriy Fradkin, 2015, Knowledge and Information Systems.

The use of misclassification costs to learn rule-based decision support models for cost-effective hospital admission strategies.

G F Cooper, B G Buchanan, G. Cooper, 1995, Proceedings. Symposium on Computer Applications in Medical Care.

Predicting with Variables Constructed from Temporal Sequences

Gilles Clermont, Gregory F. Cooper, Mehmet Kayaalp, 2001, AISTATS.

A comparative analysis of methods for predicting clinical outcomes using high-dimensional genomic datasets.

Gregory F Cooper, Binghuang Cai, Xinghua Lu, 2014, Journal of the American Medical Informatics Association : JAMIA.

A Bayesian Method for Causal Modeling and Discovery Under Selection pdf

Gregory F. Cooper, G. Cooper, 2000, UAI.

A combination of exact algorithms for inference on Bayesian belief networks

Gregory F. Cooper, Henri Jacques Suermondt, H. J. Suermondt, 1991, Int. J. Approx. Reason..

A randomized approximation algorithm for probabilistic inference on bayesian belief networks

Gregory F. Cooper, R. Martin Chavez, R. M. Chavez, 1990, Networks.

An algorithm for computing probabilistic propositions pdf

Gregory F. Cooper, G. Cooper, 1987, Int. J. Approx. Reason..

Bayesian Biosurveillance of Disease Outbreaks

Weng-Keen Wong, Gregory F. Cooper, Michael M. Wagner, 2004, UAI.

Rule-based anomaly pattern detection for detecting disease outbreaks

Andrew W. Moore, Weng-Keen Wong, Gregory F. Cooper, 2002, AAAI/IAAI.

A latent variable model for multivariate discretization

Gregory F. Cooper, Stefano Monti, G. Cooper, 1999, AISTATS.

A Bayesian network model for spatial event surveillance

Gregory F. Cooper, Daniel B. Neill, Xia Jiang, 2010, Int. J. Approx. Reason..

Research Paper: Creating a Text Classifier to Detect Radiology Reports Describing Mediastinal Findings Associated with Inhalational Anthrax and Other Disorders

Gregory F Cooper, Paul Hanbury, Brian E Chapman, 2003, J. Am. Medical Informatics Assoc..

Exact model averaging with naive Bayesian classifiers

Gregory F. Cooper, Denver Dash, G. Cooper, 2002, ICML.

Discovery of Causal Models that Contain Latent Variables Through Bayesian Scoring of Independence Constraints

Fattaneh Jabbari, Gregory F. Cooper, Joseph Ramsey, 2017, ECML/PKDD.

Causal Discovery from Population-Based Infant Birth and Death Records

Gregory F. Cooper, Subramani Mani, G. Cooper, 1999, AAAI/IAAI.

A Bayesian System to Track Outbreaks of Influenza-Like Illnesses Including Novel Diseases

G. Cooper, M. Michaels, H. Hochheiser, 2023, medRxiv.

Data explorer: a prototype expert system for statistical analysis.

G F Cooper, C Aliferis, E Chao, 1993, Proceedings. Symposium on Computer Applications in Medical Care.

CHAPTER 18 – Bayesian Methods for Diagnosing Outbreaks

Weng-Keen Wong, Gregory F. Cooper, Michael M. Wagner, 2006 .

A bayesian local causal discovery framework

Gregory F. Cooper, Subramani Mani, G. Cooper, 2005 .

KNET: Integrating Hypermedia and Bayesian Modeling pdf

Gregory F. Cooper, R. Martin Chavez, R. M. Chavez, 2013, ArXiv.

Stochastic simulation of Bayesian belief networks

Gregory F. Cooper, Homer L. Chin, G. Cooper, 1987, Int. J. Approx. Reason..

Evaluation of a Meta-1-based automatic indexing method for medical documents.

G F Cooper, M M Wagner, G. Cooper, 1992, Computers and biomedical research, an international journal.

Bayesian prediction of an epidemic curve

Gregory F. Cooper, Michael M. Wagner, Garrick L. Wallstrom, 2009, J. Biomed. Informatics.

Obtaining Accurate Probabilistic Causal Inference by Post-Processing Calibration pdf

Fattaneh Jabbari, Mahdi Pakdaman Naeini, Gregory F. Cooper, 2017, ArXiv.

Binary Classifier Calibration: Bayesian Non-Parametric Approach pdf

Milos Hauskrecht, Mahdi Pakdaman Naeini, Gregory F. Cooper, 2014, ArXiv.

Binary classifier calibration using an ensemble of piecewise linear regression models

Mahdi Pakdaman Naeini, Gregory F. Cooper, G. Cooper, 2017, Knowledge and Information Systems.

Binary Classifier Calibration Using a Bayesian Non-Parametric Approach

Milos Hauskrecht, Mahdi Pakdaman Naeini, Gregory F. Cooper, 2015, SDM.

Discovery of Causal Relationships in a Gene-Regulation Pathway from a Mixture of Experimental and Observational DNA Microarray Data

Gregory F. Cooper, Vesteinn Thorsson, Changwon Yoo, 2001, Pacific Symposium on Biocomputing.

Representing CARE rules in a decision-theoretic formalism.

G F Cooper, J M Overhage, M M Wagner, 1996, Proceedings : a conference of the American Medical Informatics Association. AMIA Fall Symposium.

Hypermedia and randomized algorithms for medical expert systems.

G F Cooper, R M Chavez, R. M. Chavez, 1989, Computer methods and programs in biomedicine.

A study of the transferability of influenza case detection systems between two large healthcare systems

Ye Ye, Gregory F Cooper, Lingyun Shi, 2017, PloS one.

A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases

Gregory F. Cooper, Michael M. Wagner, Ye Ye, 2016 .

A method for detecting and characterizing outbreaks of infectious disease from clinical reports

Gregory F. Cooper, Ricardo Villamarín-Salomón, Michael M. Wagner, 2015, J. Biomed. Informatics.

Detection of Patients with Influenza Syndrome Using Machine-Learning Models Learned from Emergency Department Reports

Shyam Visweswaran, Gregory F. Cooper, Fu-Chiang Tsui, 2013, Online Journal of Public Health Informatics.

A Decision-Theoretic Model of Disease Surveillance and Control and a Prototype Implementation for the Disease Influenza

Gregory F. Cooper, Ricardo Villamarín-Salomón, Michael M. Wagner, 2012, 2012 IEEE 28th International Conference on Data Engineering Workshops.

Patient-Specific Models for Predicting the Outcomes of Patients with Community Acquired Pneumonia

Shyam Visweswaran, Gregory F. Cooper, G. Cooper, 2005, AMIA.

Discovery of gene-regulation pathways using local causal search

Gregory F. Cooper, Changwon Yoo, G. Cooper, 2002, AMIA.

Learning High-dimensional Directed Acyclic Graphs with Mixed Data-types

Gregory F Cooper, Bryan Andrews, Joseph Ramsey, 2019, CD@KDD.

Outlier-based detection of unusual patient-management actions: An ICU study

Gilles Clermont, Milos Hauskrecht, Shyam Visweswaran, 2016, J. Biomed. Informatics.

A Multivariate Discretization Method for Learning Bayesian Networks from Mixed Data

Gregory F. Cooper, Stefano Monti, G. Cooper, 1998, UAI.

Probabilistic Diagnosis Using a Reformulation of the INTERNIST-1/QMR Knowledge Base

D. Heckerman, E. Horvitz, Blackford Middleton, 1991, Methods of Information in Medicine.

A temporal analysis of QMR.

G F Cooper, B G Buchanan, R A Miller, 1996, Journal of the American Medical Informatics Association : JAMIA.

Research Paper: A Temporal Analysis of QMR

Constantin F. Aliferis, Randolph A. Miller, Bruce G. Buchanan, 1996, J. Am. Medical Informatics Assoc..

Instance-Specific Bayesian Network Structure Learning

Shyam Visweswaran, Fattaneh Jabbari, Gregory F. Cooper, 2018, PGM.

Population-wide Anomaly Detection

G. Cooper, W. Hogan, M. Wagner, 2005 .

Probabilistic, Decision-theoretic Disease Surveillance and Control

Michael Wagner, Yang Hu, Shawn T. Brown, 2011, Online journal of public health informatics.

Image engine: an integrated multimedia clinical information system.

G F Cooper, H J Lowe, B G Buchanan, 1995, Medinfo. MEDINFO.

Evaluation of eye tracking for a decision support application

G. Cooper, H. Hochheiser, S. Visweswaran, 2021, JAMIA open.

Evaluation of eye-tracking methods for a decision support application

Gregory F Cooper, Shyam Visweswaran, Gilles Clermont, 2020, medRxiv.

Artificial intelligence in medicine

Geoffrey J. Gordon, Tom Michael Mitchell, P J Drew, 1989, Singapore medical journal.

Artificial intelligence in medicine

Geoffrey J. Gordon, Johanna D. Moore, Tom Michael Mitchell, 1989, Springer US.

A temporal representation and reasoning model for medical decision-support systems

Gregory F. Cooper, Constantin Fotios Aliferis, G. Cooper, 1998 .

A Bayesian Approach for Identifying Multivariate Differences Between Groups

Gregory F. Cooper, Yuriy Sverchkov, G. Cooper, 2015, IDA.

A fast algorithm for learning epistatic genomic relationships.

Gregory F Cooper, Shyam Visweswaran, Xia Jiang, 2010, AMIA ... Annual Symposium proceedings. AMIA Symposium.

A control study to evaluate a computer-based microarray experiment design recommendation system for gene-regulation pathways discovery

Gregory F Cooper, Martin Schmidt, Changwon Yoo, 2006, J. Biomed. Informatics.

Learning High-dimensional Directed Acyclic Graphs with Mixed Data-types

G. Cooper, J. Ramsey, Bryan Andrews, 2019, CD@KDD.

Artificial intelligence in medicine

Diana E. Forsythe, Bruce G. Buchanan, Geoffrey J. Gordon, 1989, Springer US.

SyCo: A Probabilistic Machine Learning Method for Classifying Chief Complaints into Symptom and Syndrome Categories

Gregory F. Cooper, Peter Sutovsky, Michael M. Wagner, 2006 .

A Bayesian Network Classifier that Combines a Finite Mixture Model and a NaIve Bayes Model pdf

Gregory F. Cooper, Stefano Monti, G. Cooper, 1999, UAI.