Elizabeth S. Burnside

According to our database1, Elizabeth S. Burnside authored at least 56 papers between 1999 and 2018.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2018
Proposing New RadLex Terms by Analyzing Free-Text Mammography Reports.
J. Digital Imaging, 2018

Quantifying predictive capability of electronic health records for the most harmful breast cancer.
Proceedings of the Medical Imaging 2018: Image Perception, 2018

Comparison of screening full-field digital mammography and digital breast tomosynthesis technical recalls.
Proceedings of the 14th International Workshop on Breast Imaging, 2018

2017
Breast Cancer Risk Prediction Using Electronic Health Records.
Proceedings of the 2017 IEEE International Conference on Healthcare Informatics, 2017

2016
Heterogeneity in Women's Adherence and Its Role in Optimal Breast Cancer Screening Policies.
Management Science, 2016

Structure-Leveraged Methods in Breast Cancer Risk Prediction.
Journal of Machine Learning Research, 2016

Using automatically extracted information from mammography reports for decision-support.
Journal of Biomedical Informatics, 2016

Discriminatory power of common genetic variants in personalized breast cancer diagnosis.
Proceedings of the Medical Imaging 2016: Image Perception, Observer Performance, and Technology Assessment, San Diego, California, United States, 27 February, 2016

A utility/cost analysis of breast cancer risk prediction algorithms.
Proceedings of the Medical Imaging 2016: Image Perception, Observer Performance, and Technology Assessment, San Diego, California, United States, 27 February, 2016

A Speech-to-Text Interface for MammoClass.
Proceedings of the 29th IEEE International Symposium on Computer-Based Medical Systems, 2016

Interpretable models to predict Breast Cancer.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

2015
Predicting malignancy from mammography findings and image-guided core biopsies.
IJDMB, 2015

SkILL - A Stochastic Inductive Logic Learner.
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015

Automated Diagnosis of Breast Cancer on Medical Images.
Proceedings of the Foundations of Biomedical Knowledge Representation, 2015

2014
Healthcare Intelligence: Turning Data into Knowledge.
IEEE Intelligent Systems, 2014

ExpertBayes: Automatically refining manually built Bayesian networks.
CoRR, 2014

Support Vector Machines for Differential Prediction.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Expert Bayes: Automatically Refining Manually Built Bayesian Networks.
Proceedings of the 13th International Conference on Machine Learning and Applications, 2014

Multiple Testing under Dependence via Semiparametric Graphical Models.
Proceedings of the 31th International Conference on Machine Learning, 2014

Comparing the Value of Mammographic Features and Genetic Variants in Breast Cancer Risk Prediction.
Proceedings of the AMIA 2014, 2014

A Novel Method to Assess Incompleteness of Mammography Report Content.
Proceedings of the AMIA 2014, 2014

Learning Heterogeneous Hidden Markov Random Fields.
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

2013
A Comprehensive Methodology for Determining the Most Informative Mammographic Features.
J. Digital Imaging, 2013

Optimal Policies for Reducing Unnecessary Follow-Up Mammography Exams in Breast Cancer Diagnosis.
Decision Analysis, 2013

Artificial Neural Networks in Mammography Interpretation and Diagnostic Decision Making.
Comp. Math. Methods in Medicine, 2013

Score As You Lift (SAYL): A Statistical Relational Learning Approach to Uplift Modeling.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Uplift Modeling with ROC: An SRL Case Study.
Proceedings of the Late Breaking Papers of the 23rd International Conference on Inductive Logic Programming, Rio de Janeiro, Brazil, August 28th - to, 2013

Using machine learning to identify benign cases with non-definitive biopsy.
Proceedings of the IEEE 15th International Conference on e-Health Networking, 2013

Using Multidimensional Mutual Information to Prioritize Mammographic Features for Breast Cancer Diagnosis.
Proceedings of the AMIA 2013, 2013

Genetic Variants Improve Breast Cancer Risk Prediction on Mammograms.
Proceedings of the AMIA 2013, 2013

2012
The Effect of Budgetary Restrictions on Breast Cancer Diagnostic Decisions.
Manufacturing & Service Operations Management, 2012

High-Dimensional Structured Feature Screening Using Binary Markov Random Fields.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Automatic classification of mammography reports by BI-RADS breast tissue composition class.
JAMIA, 2012

Graphical-model Based Multiple Testing under Dependence, with Applications to Genome-wide Association Studies
CoRR, 2012

Graphical-model Based Multiple Testing under Dependence, with Applications to Genome-wide Association Studies.
Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012

Relational Differential Prediction.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

Extracting BI-RADS features from Portuguese clinical texts.
Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine, 2012

A collective ranking method for genome-wide association studies.
Proceedings of the ACM International Conference on Bioinformatics, 2012

Logical Differential Prediction Bayes Net, improving breast cancer diagnosis for older women.
Proceedings of the AMIA 2012, 2012

2011
Studying the Relevance of Breast Imaging Features.
Proceedings of the HEALTHINF 2011, 2011

Predicting Malignancy from Mammography Findings and Surgical Biopsies.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2011

2010
Validation of Results from Knowledge Discovery: Mass Density as a Predictor of Breast Cancer.
J. Digital Imaging, 2010

Optimal Breast Biopsy Decision-Making Based on Mammographic Features and Demographic Factors.
Operations Research, 2010

Uncovering age-specific invasive and DCIS breast cancer rules using inductive logic programming.
Proceedings of the ACM International Health Informatics Symposium, 2010

2009
Fluorescence Spectroscopy: An Adjunct Diagnostic Tool to Image-Guided Core Needle Biopsy of the Breast.
IEEE Trans. Biomed. Engineering, 2009

Boosting First-Order Clauses for Large, Skewed Data Sets.
Proceedings of the Inductive Logic Programming, 19th International Conference, 2009

Information Extraction for Clinical Data Mining: A Mammography Case Study.
Proceedings of the ICDM Workshops 2009, 2009

2007
Change of Representation for Statistical Relational Learning.
Proceedings of the IJCAI 2007, 2007

2005
View Learning for Statistical Relational Learning: With an Application to Mammography.
Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005

An Integrated Approach to Learning Bayesian Networks of Rules.
Proceedings of the Machine Learning: ECML 2005, 2005

Knowledge Discovery from Structured Mammography Reports Using Inductive Logic Programming.
Proceedings of the AMIA 2005, 2005

2004
Using a Bayesian Network to Predict the Probability and Type of Breast Cancer Represented by Microcalcifications on Mammography.
Proceedings of the MEDINFO 2004, 2004

The effects of training parameters on learning a probabilistic expert system for mammography.
Proceedings of the CARS 2004. Computer Assisted Radiology and Surgery. Proceedings of the 18th International Congress and Exhibition, 2004

Improving a Bayesian network's ability to predict the probability of malignancy of microcalcifications on mammography.
Proceedings of the CARS 2004. Computer Assisted Radiology and Surgery. Proceedings of the 18th International Congress and Exhibition, 2004

2000
A Bayesian network for mammography.
Proceedings of the AMIA 2000, 2000

1999
Representing the Digital Anatomist Foundational Model as a Protege Ontology.
Proceedings of the AMIA 1999, 1999


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