Peggy L. Peissig

Orcid: 0000-0003-4156-0189

Affiliations:
  • Marshfield Clinic Research Foundation, Marshfield, WI, USA


According to our database1, Peggy L. Peissig authored at least 61 papers between 2005 and 2022.

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Bibliography

2022
Under-specification as the source of ambiguity and vagueness in narrative phenotype algorithm definitions.
BMC Medical Informatics Decis. Mak., 2022

2021
Medical records-based chronic kidney disease phenotype for clinical care and "big data" observational and genetic studies.
npj Digit. Medicine, 2021

2020
High-Throughput Approach to Modeling Healthcare Costs Using Electronic Healthcare Records.
CoRR, 2020

Adverse drug reaction discovery from electronic health records with deep neural networks.
Proceedings of the ACM CHIL '20: ACM Conference on Health, 2020

2019
Facilitating phenotype transfer using a common data model.
J. Biomed. Informatics, 2019

Machine learning for phenotyping opioid overdose events.
J. Biomed. Informatics, 2019

Pharmacogenomic clinical decision support design and multi-site process outcomes analysis in the eMERGE Network.
J. Am. Medical Informatics Assoc., 2019

High-Throughput Machine Learning from Electronic Health Records.
CoRR, 2019

An Application of Manifold Learning in Global Shape Descriptors.
Algorithms, 2019

Lung Nodule Classification Using Combined Deep and Spectral 3D Shape Features.
Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019

2018
A case study evaluating the portability of an executable computable phenotype algorithm across multiple institutions and electronic health record environments.
J. Am. Medical Informatics Assoc., 2018

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

Object Detection to Assist Visually Impaired People: A Deep Neural Network Adventure.
Proceedings of the Advances in Visual Computing - 13th International Symposium, 2018

Temporal Poisson Square Root Graphical Models.
Proceedings of the 35th International Conference on Machine Learning, 2018

Diagnostic Classification of Lung CT Images Using Deep 3D Multi-Scale Convolutional Neural Network.
Proceedings of the IEEE International Conference on Healthcare Informatics, 2018

Improving breast cancer risk prediction by using demographic risk factors, abnormality features on mammograms and genetic variants.
Proceedings of the AMIA 2018, 2018

2017
Evaluating electronic health record data sources and algorithmic approaches to identify hypertensive individuals.
J. Am. Medical Informatics Assoc., 2017

Hawkes Process Modeling of Adverse Drug Reactions with Longitudinal Observational Data.
Proceedings of the Machine Learning for Health Care Conference, 2017

Machine Learning-as-a-Service and Its Application to Medical Informatics.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2017

Pharmacovigilance via Baseline Regularization with Large-Scale Longitudinal Observational Data.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

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

Entity Matching Using Magellan: Matching Drug Reference Tables.
Proceedings of the Summit on Clinical Research Informatics, 2017

SCCS for Detection of Differences in Brand and Generic Adverse Drug Events.
Proceedings of the Summit on Clinical Research Informatics, 2017

bigNN: An open-source big data toolkit focused on biomedical sentence classification.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016
Relational Learning for Sustainable Health.
Proceedings of the Computational Sustainability, 2016

Structure-Leveraged Methods in Breast Cancer Risk Prediction.
J. Mach. Learn. Res., 2016

PheKB: a catalog and workflow for creating electronic phenotype algorithms for transportability.
J. Am. Medical Informatics Assoc., 2016

A multi-institution evaluation of clinical profile anonymization.
J. Am. Medical Informatics Assoc., 2016

Identification of genetic interaction networks via an evolutionary algorithm evolved Bayesian network.
BioData Min., 2016

Practical considerations for implementing genomic information resources.
Appl. Clin. Inform., 2016

Biofilter as a Functional Annotation Pipeline for Common and Rare Copy Number Burden.
Proceedings of the Biocomputing 2016: Proceedings of the Pacific Symposium, 2016

Knowledge Driven Binning and PheWAS Analysis in Marshfield Personalized Medicine Research Project Using BioBin.
Proceedings of the Biocomputing 2016: Proceedings of the Pacific Symposium, 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

Computational Drug Repositioning Using Continuous Self-Controlled Case Series.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

OCR as a Service: An Experimental Evaluation of Google Docs OCR, Tesseract, ABBYY FineReader, and Transym.
Proceedings of the Advances in Visual Computing - 12th International Symposium, 2016

Baseline Regularization for Computational Drug Repositioning with Longitudinal Observational Data.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Developing an NLP Pipeline for Thyroid Ultrasound Reporting.
Proceedings of the AMIA 2016, 2016

2015
CSER and eMERGE: current and potential state of the display of genetic information in the electronic health record.
J. Am. Medical Informatics Assoc., 2015

Desiderata for computable representations of electronic health records-driven phenotype algorithms.
J. Am. Medical Informatics Assoc., 2015


Predicting Adverse Drug Events from Electronic Medical Records.
Proceedings of the Foundations of Biomedical Knowledge Representation, 2015

2014
Design patterns for the development of electronic health record-driven phenotype extraction algorithms.
J. Biomed. Informatics, 2014

Relational machine learning for electronic health record-driven phenotyping.
J. Biomed. Informatics, 2014

Benefits of Accurate Imputations in GWAS.
Proceedings of the Applications of Evolutionary Computation - 17th European Conference, 2014

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

Development and validation of an electronic phenotyping algorithm for chronic kidney disease.
Proceedings of the AMIA 2014, 2014

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

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

Development of an optical character recognition pipeline for handwritten form fields from an electronic health record.
J. Am. Medical Informatics Assoc., 2012

Importance of multi-modal approaches to effectively identify cataract cases from electronic health records.
J. Am. Medical Informatics Assoc., 2012

Use of diverse electronic medical record systems to identify genetic risk for type 2 diabetes within a genome-wide association study.
J. Am. Medical Informatics Assoc., 2012

Machine Learning for Personalized Medicine: Predicting Primary Myocardial Infarction from Electronic Health Records.
AI Mag., 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

Demand-Driven Clustering in Relational Domains for Predicting Adverse Drug Events.
Proceedings of the 29th International Conference on Machine Learning, 2012

Statistical Relational Learning to Predict Primary Myocardial Infarction from Electronic Health Records.
Proceedings of the Twenty-Fourth Conference on Innovative Applications of Artificial Intelligence, 2012

An Evaluation of the NQF Quality Data Model for Representing Electronic Health Record Driven Phenotyping Algorithms.
Proceedings of the AMIA 2012, 2012

Learning to Predict Post-Hospitalization VTE Risk from EHR Data.
Proceedings of the AMIA 2012, 2012

Using PheWAS to Assess Pleiotropy of Genetic Risk Scores for Rheumatoid Arthritis and Coronary Artery Disease in the eMERGE Network.
Proceedings of the AMIA 2012, 2012

Identifying Adverse Drug Events by Relational Learning.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2010
An analytical approach to characterize morbidity profile dissimilarity between distinct cohorts using electronic medical records.
J. Biomed. Informatics, 2010

2005
Study of Effect of Drug Lexicons on Medication Extraction from Electronic Medical Records.
Proceedings of the Biocomputing 2005, 2005


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