Peggy L. Peissig

发表

PS1-21: Evaluation of Commercial Workflow Engine for Modeling Clinical Processes in Quality Improvement and Decision Support

Vojtech Huser, Peggy L. Peissig, Carl A Christensen, 2010, Clinical Medicine & Research.

A case study evaluating the portability of an executable computable phenotype algorithm across multiple institutions and electronic health record environments

Joshua C. Denny, Jyotishman Pathak, Abel N. Kho, 2018, J. Am. Medical Informatics Assoc..

An analytical approach to characterize morbidity profile dissimilarity between distinct cohorts using electronic medical records

Christopher G. Chute, Joshua C. Denny, Abel N. Kho, 2010, J. Biomed. Informatics.

Object Detection to Assist Visually Impaired People: A Deep Neural Network Adventure

Zeyun Yu, Roshan M. D'Souza, Peggy L. Peissig, 2018, ISVC.

Pharmacogenomic clinical decision support design and multi-site process outcomes analysis in the eMERGE Network

Pedro J. Caraballo, Peggy L. Peissig, Justin Starren, 2019, J. Am. Medical Informatics Assoc..

Knowledge Driven Binning and PheWAS Analysis in Marshfield Personalized Medicine Research Project Using BioBin

Marylyn D. Ritchie, Peggy L. Peissig, John R. Wallace, 2016, PSB.

Improving breast cancer risk prediction by using demographic risk factors, abnormality features on mammograms and genetic variants

David Page, Peggy L. Peissig, Elizabeth S. Burnside, 2018, AMIA.

Importance of multi-modal approaches to effectively identify cataract cases from electronic health records

Lin Chen, Joshua C. Denny, Jyotishman Pathak, 2012, J. Am. Medical Informatics Assoc..

Learning to Predict Post-Hospitalization VTE Risk from EHR Data

Peggy L. Peissig, Emily Kawaler, Alexander G. Cobian, 2012, AMIA.

Predicting Adverse Drug Events from Electronic Medical Records

Jesse Davis, David Page, Vítor Santos Costa, 2015, Foundations of Biomedical Knowledge Representation.

High-Dimensional Structured Feature Screening Using Binary Markov Random Fields

David Page, Chunming Zhang, Peggy L. Peissig, 2012, AISTATS.

Pharmacovigilance via Baseline Regularization with Large-Scale Longitudinal Observational Data

David Page, Vítor Santos Costa, Peggy L. Peissig, 2017, KDD.

Facilitating phenotype transfer using a common data model

George Hripcsak, Chunhua Weng, Joshua C. Denny, 2019, J. Biomed. Informatics.

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

Christopher G. Chute, Lisa Bastarache, Dana C. Crawford, 2012, AMIA.

OCR as a Service: An Experimental Evaluation of Google Docs OCR, Tesseract, ABBYY FineReader, and Transym

Hamid R. Arabnia, Zeyun Yu, Ahmadreza Baghaie, 2016, ISVC.

Genetic Variants Improve Breast Cancer Risk Prediction on Mammograms

David Page, Jude W. Shavlik, Peggy L. Peissig, 2013, AMIA.

Comparing the Value of Mammographic Features and Genetic Variants in Breast Cancer Risk Prediction

David Page, Yirong Wu, Peggy L. Peissig, 2014, AMIA.

Hawkes Process Modeling of Adverse Drug Reactions with Longitudinal Observational Data

Rebecca Willett, David Page, Peggy L. Peissig, 2017, MLHC.

Breast Cancer Risk Prediction Using Electronic Health Records

Jun Fan, Jie Yin, David Page, 2017, 2017 IEEE International Conference on Healthcare Informatics (ICHI).

Identifying Adverse Drug Events by Relational Learning

Sriraam Natarajan, David Page, Vítor Santos Costa, 2012, AAAI.

Machine Learning-as-a-Service and Its Application to Medical Informatics

Peggy L. Peissig, Ahmad Pahlavan Tafti, Jonathan C. Badger, 2017, MLDM.

Discovering latent structure in clinical databases

Jesse Davis, Vítor Santos Costa, Peggy L. Peissig, 2011, NIPS 2011.

Computational Drug Repositioning Using Continuous Self-Controlled Case Series

David Page, Peggy L. Peissig, James A. Thomson, 2016, KDD.

Diagnostic Classification of Lung CT Images Using Deep 3D Multi-Scale Convolutional Neural Network

Peggy L. Peissig, Eric R. LaRose, Ahmad Pahlavan Tafti, 2018, 2018 IEEE International Conference on Healthcare Informatics (ICHI).

Design patterns for the development of electronic health record-driven phenotype extraction algorithms

Gerard Tromp, Joshua C. Denny, Jyotishman Pathak, 2014, J. Biomed. Informatics.

Statistical Relational Learning to Predict Primary Myocardial Infarction from Electronic Health Records

Sriraam Natarajan, David Page, Peggy L. Peissig, 2012, IAAI.

Structure-Leveraged Methods in Breast Cancer Risk Prediction

Jun Fan, David Page, Yirong Wu, 2016, J. Mach. Learn. Res..

Lung Nodule Classification Using Combined Deep and Spectral 3D Shape Features

Zeyun Yu, Roshan M. D'Souza, Peggy L. Peissig, 2019, 2019 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI).

Desiderata for computable representations of electronic health records-driven phenotype algorithms

Paul A. Harris, Gerard Tromp, Jie Xu, 2015, J. Am. Medical Informatics Assoc..

bigNN: An open-source big data toolkit focused on biomedical sentence classification

David Page, Peggy L. Peissig, AnHai Doan, 2017, 2017 IEEE International Conference on Big Data (Big Data).

High-Throughput Machine Learning from Electronic Health Records pdf

David Page, Peggy L. Peissig, Richard L. Berg, 2019, ArXiv.

SCCS for Detection of Differences in Brand and Generic Adverse Drug Events

David Page, Peggy L. Peissig, Eric R. LaRose, 2017, CRI.

Machine Learning for Personalized Medicine: Predicting Primary Myocardial Infarction from Electronic Health Records

Sriraam Natarajan, David Page, Peggy L. Peissig, 2012, AI Mag..

Demand-Driven Clustering in Relational Domains for Predicting Adverse Drug Events

Jesse Davis, David Page, Vítor Santos Costa, 2012, ICML.

Relational machine learning for electronic health record-driven phenotyping

Eneida A. Mendonça, Vítor Santos Costa, Peggy L. Peissig, 2014, J. Biomed. Informatics.

An Evaluation of the NQF Quality Data Model for Representing Electronic Health Record Driven Phenotyping Algorithms

Joshua C. Denny, Jyotishman Pathak, Abel N. Kho, 2012, AMIA.

Baseline Regularization for Computational Drug Repositioning with Longitudinal Observational Data

David Page, Peggy L. Peissig, James A. Thomson, 2016, IJCAI.

Developing an NLP Pipeline for Thyroid Ultrasound Reporting

Peggy L. Peissig, Yiqiang Song, Eric LaRose, 2016, AMIA.

Relational Learning for Sustainable Health

Sriraam Natarajan, David Page, Peggy L. Peissig, 2016, Computational Sustainability.

Use of diverse electronic medical record systems to identify genetic risk for type 2 diabetes within a genome-wide association study

Suzette J. Bielinski, Christopher G. Chute, Joshua C. Denny, 2012, J. Am. Medical Informatics Assoc..

Biofilter as a Functional Annotation Pipeline for Common and Rare Copy Number Burden

Marylyn D. Ritchie, Yukiko Bradford, Shefali S. Verma, 2016, PSB.

Development and validation of an electronic phenotyping algorithm for chronic kidney disease

George Hripcsak, Girish N. Nadkarni, Chunhua Weng, 2014, AMIA.

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

David Page, Chunming Zhang, Peggy L. Peissig, 2012, UAI.

PheKB: a catalog and workflow for creating electronic phenotype algorithms for transportability

Paul A. Harris, Gerard Tromp, Joshua C. Denny, 2016, J. Am. Medical Informatics Assoc..

CSER and eMERGE: current and potential state of the display of genetic information in the electronic health record

Christopher G. Chute, Marc S. Williams, Peggy L. Peissig, 2015, J. Am. Medical Informatics Assoc..

Study of Effect of Drug Lexicons on Medication Extraction from Electronic Medical Records

Peggy L. Peissig, E. Sirohi, P. Peissig, 2004, Pacific Symposium on Biocomputing.

A Genome- and Phenome- Wide Study of Diverticulosis

Girish N. Nadkarni, Joshua C. Denny, Jyotishman Pathak, 2015, AMIA.

Development of an optical character recognition pipeline for handwritten form fields from an electronic health record

Peggy L. Peissig, Justin Starren, Luke V. Rasmussen, 2012, J. Am. Medical Informatics Assoc..

Entity Matching Using Magellan: Matching Drug Reference Tables

Peggy L. Peissig, AnHai Doan, Eric R. LaRose, 2017, CRI.

Benefits of Accurate Imputations in GWAS

Marylyn D. Ritchie, Shefali S. Verma, Peggy L. Peissig, 2014, EvoApplications.

Improving Workflow and Security: the Marshfield Data Submission Tracking System

Peggy L. Peissig, Justin Starren, Tuan Nguyen, 2005 .

Quantifying predictive capability of electronic health records for the most harmful breast cancer

Jun Fan, Jie Yin, David Page, 2018, Medical Imaging.

Temporal Poisson Square Root Graphical Models

David Page, Peggy L. Peissig, Sinong Geng, 2018, ICML.

An Application of Manifold Learning in Global Shape Descriptors

Zeyun Yu, Roshan M. D'Souza, Peggy L. Peissig, 2019, Algorithms.

Discriminatory power of common genetic variants in personalized breast cancer diagnosis

Craig K. Abbey, Jun Fan, Yirong Wu, 2016, SPIE Medical Imaging.

A multi-institution evaluation of clinical profile anonymization

Paul A. Harris, Raymond Heatherly, Joshua C. Denny, 2016, J. Am. Medical Informatics Assoc..

Identification of genetic interaction networks via an evolutionary algorithm evolved Bayesian network

Marylyn D. Ritchie, Yukiko Bradford, Scott M. Dudek, 2016, BioData Mining.

Quantification of the clinical modifiers impacting high-density lipoprotein cholesterol in the community: Personalized Medicine Research Project.

Peggy L. Peissig, Justin Starren, Russell A. Wilke, 2010, Preventive cardiology.

Identification of Four Novel Loci in Asthma in European American and African American Populations

Peggy L. Peissig, Jennifer A. Pacheco, Iftikhar J. Kullo, 2017, American journal of respiratory and critical care medicine.

LPA Variants Are Associated With Residual Cardiovascular Risk in Patients Receiving Statins

George Hripcsak, Joshua C. Denny, Peggy L. Peissig, 2018, Circulation.

Genetic Variants Associated with Serum Thyroid Stimulating Hormone (TSH) Levels in European Americans and African Americans from the eMERGE Network

Suzette J. Bielinski, Christopher G. Chute, Marylyn D. Ritchie, 2014, PloS one.

Practical challenges in integrating genomic data into the electronic health record

Abel N. Kho, Peggy L. Peissig, Justin Starren, 2013, Genetics in Medicine.

Preliminary outcomes of preemptive warfarin pharmacogenetic testing at a large rural healthcare center

Peggy L. Peissig, Murray H. Brilliant, M. Brilliant, 2019, American journal of health-system pharmacy : AJHP : official journal of the American Society of Health-System Pharmacists.

Knowledge-Driven Multi-Locus Analysis Reveals Gene-Gene Interactions Influencing HDL Cholesterol Level in Two Independent EMR-Linked Biobanks

Marylyn D. Ritchie, Joshua C. Denny, Dana C. Crawford, 2011, PloS one.

A GWAS Study on Liver Function Test Using eMERGE Network Participants

Keith Marsolo, Marylyn D. Ritchie, Shefali S. Verma, 2015, PloS one.

Phenome-wide association studies demonstrating pleiotropy of genetic variants within FTO with and without adjustment for body mass index

Suzette J. Bielinski, Gerard Tromp, Christopher G. Chute, 2014, Front. Genet..

CloudMatcher : A Cloud / Crowd Service for Entity Matching

Peggy L. Peissig, AnHai Doan, Youngchoon Park, 2017 .

Meta-Analysis of Genome-Wide Association Studies for Abdominal Aortic Aneurysm Identifies Four New Disease-Specific Risk Loci

Gerard Tromp, Marylyn D. Ritchie, Dana C. Crawford, 2017, Circulation research.