Peggy L. Peissig

Publication Activity (10 Years)

Years Active: 2005-2022
Publications (10 Years): 38

Top Topics

Adverse Drug Reactions

Electronic Health Records

Observational Data

Top Venues

J. Am. Medical Informatics Assoc.

J. Biomed. Informatics

Publications

Jingzhi Yu, Jennifer A. Pacheco, Anika S. Ghosh, Yuan Luo, Chunhua Weng, Ning Shang, Barbara Benoit, David S. Carrell, Robert J. Carroll, Ozan Dikilitas, Robert R. Freimuth, Vivian S. Gainer, Hakon Hakonarson, George Hripcsak, Iftikhar J. Kullo, Frank D. Mentch, Shawn N. Murphy, Peggy L. Peissig, Andrea H. Ramirez, Nephi Walton, Wei-Qi Wei, Luke V. Rasmussen
Under-specification as the source of ambiguity and vagueness in narrative phenotype algorithm definitions. BMC Medical Informatics Decis. Mak. 22 (1) (2022)
Ning Shang, Atlas Khan, Fernanda Polubriaginof, Francesca Zanoni, Karla Mehl, David Fasel, Paul E. Drawz, Robert J. Carrol, Joshua C. Denny, Matthew A. Hathcock, Adelaide M. Arruda-Olson, Peggy L. Peissig, Richard A. Dart, Murray H. Brilliant, Eric B. Larson, David S. Carrell, Sarah A. Pendergrass, Shefali Setia Verma, Marylyn D. Ritchie, Barbara Benoit, Vivian S. Gainer, Elizabeth W. Karlson, Adam S. Gordon, Gail P. Jarvik, Ian B. Stanaway, David R. Crosslin, Sumit Mohan, Iuliana Ionita-Laza, Nicholas P. Tatonetti, Ali G. Gharavi, George Hripcsak, Chunhua Weng, Krzysztof Kiryluk
Medical records-based chronic kidney disease phenotype for clinical care and "big data" observational and genetic studies. npj Digit. Medicine 4 (2021)
Wei Zhang, Zhaobin Kuang, Peggy L. Peissig, David Page
Adverse drug reaction discovery from electronic health records with deep neural networks. CHIL (2020)
Sinong Geng, Zhaobin Kuang, Peggy L. Peissig, David Page
Temporal Poisson Square Root Graphical Models. CoRR (2020)
Alex Taylor, Ross Kleiman, Scott J. Hebbring, Peggy L. Peissig, David Page
High-Throughput Approach to Modeling Healthcare Costs Using Electronic Healthcare Records. CoRR (2020)
Fereshteh S. Bashiri, Reihaneh Rostami, Peggy L. Peissig, Roshan M. D'Souza, Zeyun Yu
An Application of Manifold Learning in Global Shape Descriptors. Algorithms 12 (8) (2019)
Fereshteh S. Bashiri, Reihaneh Rostami, Peggy L. Peissig, Roshan M. D'Souza, Zeyun Yu
An Application of Manifold Learning in Global Shape Descriptors. CoRR (2019)
George Hripcsak, Ning Shang, Peggy L. Peissig, Luke V. Rasmussen, Cong Liu, Barbara Benoit, Robert J. Carroll, David S. Carrell, Joshua C. Denny, Ozan Dikilitas, Vivian S. Gainer, Kayla Marie Howell, Jeffrey G. Klann, Iftikhar J. Kullo, Todd Lingren, Frank D. Mentch, Shawn N. Murphy, Karthik Natarajan, Chunhua Weng
Facilitating phenotype transfer using a common data model. J. Biomed. Informatics 96 (2019)
Ross S. Kleiman, Paul S. Bennett, Peggy L. Peissig, Richard L. Berg, Zhaobin Kuang, Scott J. Hebbring, Michael D. Caldwell, David Page
High-Throughput Machine Learning from Electronic Health Records. CoRR (2019)
Timothy M. Herr, Josh F. Peterson, Luke V. Rasmussen, Pedro J. Caraballo, Peggy L. Peissig, Justin B. Starren
Pharmacogenomic clinical decision support design and multi-site process outcomes analysis in the eMERGE Network. J. Am. Medical Informatics Assoc. 26 (2) (2019)
Jonathan C. Badger, Eric LaRose, John Mayer, Fereshteh S. Bashiri, David Page, Peggy L. Peissig
Machine learning for phenotyping opioid overdose events. J. Biomed. Informatics 94 (2019)
Fereshteh S. Bashiri, Jonathan C. Badger, Roshan M. D'Souza, Zeyun Yu, Peggy L. Peissig
Lung Nodule Classification Using Combined Deep and Spectral 3D Shape Features. BHI (2019)
Shara Feld, Kaitlin M. Woo, Roxana Alexandridis, Yirong Wu, Jie Liu, Peggy L. Peissig, Adedayo A. Onitilo, Jennifer Cox, David Page, Elizabeth S. Burnside
Improving breast cancer risk prediction by using demographic risk factors, abnormality features on mammograms and genetic variants. AMIA (2018)
Sinong Geng, Zhaobin Kuang, Peggy L. Peissig, David Page
Temporal Poisson Square Root Graphical Models. ICML (2018)
Jennifer A. Pacheco, Luke V. Rasmussen, Richard C. Kiefer, Thomas R. Campion Jr., Peter Speltz, Robert J. Carroll, Sarah C. Stallings, Huan Mo, Monika Ahuja, Guoqian Jiang, Eric R. LaRose, Peggy L. Peissig, Ning Shang, Barbara Benoit, Vivian S. Gainer, Kenneth Borthwick, Kathryn L. Jackson, Ambrish Sharma, Andy Yizhou Wu, Abel N. Kho, Dan M. Roden, Jyotishman Pathak, Joshua C. Denny, William K. Thompson
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. 25 (11) (2018)
Fereshteh S. Bashiri, Eric LaRose, Jonathan C. Badger, Roshan M. D'Souza, Zeyun Yu, Peggy L. Peissig
Object Detection to Assist Visually Impaired People: A Deep Neural Network Adventure. ISVC (2018)
Yirong Wu, Jun Fan, Peggy L. Peissig, Richard L. Berg, Ahmad Pahlavan Tafti, Jie Yin, Ming Yuan, David Page, Jennifer Cox, Elizabeth S. Burnside
Quantifying predictive capability of electronic health records for the most harmful breast cancer. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2018)
Ahmad Pahlavan Tafti, Fereshteh S. Bashiri, Eric LaRose, Peggy L. Peissig
Diagnostic Classification of Lung CT Images Using Deep 3D Multi-Scale Convolutional Neural Network. ICHI (2018)
Yirong Wu, Elizabeth S. Burnside, Jennifer Cox, Jun Fan, Ming Yuan, Jie Yin, Peggy L. Peissig, Alexander G. Cobian, David Page, Mark W. Craven
Breast Cancer Risk Prediction Using Electronic Health Records. ICHI (2017)
Eric R. LaRose, Jonathan C. Badger, Pradap Konda, AnHai Doan, Peggy L. Peissig
Entity Matching Using Magellan: Matching Drug Reference Tables. CRI (2017)
Yujia Bao, Zhaobin Kuang, Peggy L. Peissig, David Page, Rebecca Willett
Hawkes Process Modeling of Adverse Drug Reactions with Longitudinal Observational Data. MLHC (2017)
Pedro L. Teixeira, Wei-Qi Wei, Robert M. Cronin, Huan Mo, Jacob P. VanHouten, Robert J. Carroll, Eric LaRose, Lisa Bastarache, S. Trent Rosenbloom, Todd L. Edwards, Dan M. Roden, Thomas A. Lasko, Richard A. Dart, Anne M. Nikolai, Peggy L. Peissig, Joshua C. Denny
Evaluating electronic health record data sources and algorithmic approaches to identify hypertensive individuals. J. Am. Medical Informatics Assoc. 24 (1) (2017)
Ahmad Pahlavan Tafti, Eric LaRose, Jonathan C. Badger, Ross Kleiman, Peggy L. Peissig
Machine Learning-as-a-Service and Its Application to Medical Informatics. MLDM (2017)
Jonathan C. Badger, Eric R. LaRose, Ross Kleiman, Richard L. Berg, James G. Linneman, Richard Hansen, David Page, Peggy L. Peissig
SCCS for Detection of Differences in Brand and Generic Adverse Drug Events. CRI (2017)
Ahmad Pahlavan Tafti, Ehsun Behravesh, Mehdi Assefi, Eric LaRose, Jonathan C. Badger, John Mayer, AnHai Doan, David Page, Peggy L. Peissig
bigNN: An open-source big data toolkit focused on biomedical sentence classification. IEEE BigData (2017)
Zhaobin Kuang, Peggy L. Peissig, Vítor Santos Costa, Richard Maclin, David Page
Pharmacovigilance via Baseline Regularization with Large-Scale Longitudinal Observational Data. KDD (2017)
Jun Fan, Yirong Wu, Ming Yuan, David Page, Jie Liu, Irene M. Ong, Peggy L. Peissig, Elizabeth S. Burnside
Structure-Leveraged Methods in Breast Cancer Risk Prediction. J. Mach. Learn. Res. 17 (2016)
Dokyoon Kim, Anastasia Lucas, Joseph Glessner, Shefali S. Verma, Yukiko Bradford, Ruowang Li, Alex T. Frase, Hakon Hakonarson, Peggy L. Peissig, Murray H. Brilliant, Marylyn D. Ritchie
Biofilter as a Functional Annotation Pipeline for Common and Rare Copy Number Burden. PSB (2016)
Zhaobin Kuang, James A. Thomson, Michael Caldwell, Peggy L. Peissig, Ron M. Stewart, David Page
Baseline Regularization for Computational Drug Repositioning with Longitudinal Observational Data. IJCAI (2016)
Ruowang Li, Scott M. Dudek, Dokyoon Kim, Molly A. Hall, Yukiko Bradford, Peggy L. Peissig, Murray H. Brilliant, James G. Linneman, Catherine A. McCarty, Le Bao, Marylyn D. Ritchie
Identification of genetic interaction networks via an evolutionary algorithm evolved Bayesian network. BioData Min. 9 (2016)
Casey L. Overby, John J. Connolly, Christopher G. Chute, Joshua C. Denny, Robert R. Freimuth, Andrea L. Hartzler, Ingrid A. Holm, Shannon F. Manzi, Jyotishman Pathak, Peggy L. Peissig, Maureen E. Smith, Marc S. Williams, Brian H. Shirts, Elena M. Stoffel, Peter Tarczy-Hornoch, Carolyn Rohrer Vitek, Wendy A. Wolf, Justin Starren, Luke V. Rasmussen
Practical considerations for implementing genomic information resources. Appl. Clin. Inform. 7 (03) (2016)
Ahmad Pahlavan Tafti, Ahmadreza Baghaie, Mehdi Assefi, Hamid R. Arabnia, Zeyun Yu, Peggy L. Peissig
OCR as a Service: An Experimental Evaluation of Google Docs OCR, Tesseract, ABBYY FineReader, and Transym. ISVC (1) (2016)
Zhaobin Kuang, James A. Thomson, Michael Caldwell, Peggy L. Peissig, Ron M. Stewart, David Page
Computational Drug Repositioning Using Continuous Self-Controlled Case Series. KDD (2016)
Rajesh Koralkar, Eric LaRose, Yiqiang Song, David F. Schneider, Peggy L. Peissig
Developing an NLP Pipeline for Thyroid Ultrasound Reporting. AMIA (2016)
Jacqueline Kirby, Peter Speltz, Luke V. Rasmussen, Melissa A. Basford, Omri Gottesman, Peggy L. Peissig, Jennifer A. Pacheco, Gerard Tromp, Jyotishman Pathak, David S. Carrell, Stephen B. Ellis, Todd Lingren, William K. Thompson, Guergana Savova, Jonathan L. Haines, Dan M. Roden, Paul A. Harris, Joshua C. Denny
PheKB: a catalog and workflow for creating electronic phenotype algorithms for transportability. J. Am. Medical Informatics Assoc. 23 (6) (2016)
Anna Okula Basile, John R. Wallace, Peggy L. Peissig, Catherine A. McCarty, Murray H. Brilliant, Marylyn D. Ritchie
Knowledge Driven Binning and PheWAS Analysis in Marshfield Personalized Medicine Research Project Using BioBin. PSB (2016)
Raymond Heatherly, Luke V. Rasmussen, Peggy L. Peissig, Jennifer A. Pacheco, Paul A. Harris, Joshua C. Denny, Bradley A. Malin
A multi-institution evaluation of clinical profile anonymization. J. Am. Medical Informatics Assoc. 23 (e1) (2016)
Yirong Wu, Craig K. Abbey, Jie Liu, Irene M. Ong, Peggy L. Peissig, Adedayo A. Onitilo, Jun Fan, Ming Yuan, Elizabeth S. Burnside
Discriminatory power of common genetic variants in personalized breast cancer diagnosis. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2016)
Yoonjung Y. Joo, Jennifer A. Pacheco, Loren L. Armstrong, William K. Thompson, Robert J. Carroll, Joshua C. Denny, Peggy L. Peissig, James G. Linneman, Jyotishman Pathak, Girish N. Nadkarni, Laura Rasmussen-Torvik, M. Geoffrey Hayes, Abel N. Kho
A Genome- and Phenome- Wide Study of Diverticulosis. AMIA (2015)
Brian H. Shirts, Joseph S. Salama, Samuel J. Aronson, Wendy K. Chung, Stacy W. Gray, Lucia A. Hindorff, Gail P. Jarvik, Sharon E. Plon, Elena M. Stoffel, Peter Tarczy-Hornoch, Eliezer M. Van Allen, Karen E. Weck, Christopher G. Chute, Robert R. Freimuth, Robert Grundmeier, Andrea L. Hartzler, Rongling Li, Peggy L. Peissig, Josh F. Peterson, Luke V. Rasmussen, Justin B. Starren, Marc S. Williams, Casey Lynnette Overby
CSER and eMERGE: current and potential state of the display of genetic information in the electronic health record. J. Am. Medical Informatics Assoc. 22 (6) (2015)
Huan Mo, William K. Thompson, Luke V. Rasmussen, Jennifer A. Pacheco, Guoqian Jiang, Richard C. Kiefer, Qian Zhu, Jie Xu, Enid N. H. Montague, David S. Carrell, Todd Lingren, Frank D. Mentch, Yizhao Ni, Firas H. Wehbe, Peggy L. Peissig, Gerard Tromp, Eric B. Larson, Christopher G. Chute, Jyotishman Pathak, Joshua C. Denny, Peter Speltz, Abel N. Kho, Gail P. Jarvik, Cosmin Adrian Bejan, Marc S. Williams, Kenneth Borthwick, Terrie E. Kitchner, Dan M. Roden, Paul A. Harris
Desiderata for computable representations of electronic health records-driven phenotype algorithms. J. Am. Medical Informatics Assoc. 22 (6) (2015)
Luke V. Rasmussen, William K. Thompson, Jennifer A. Pacheco, Abel N. Kho, David Carrell, Jyotishman Pathak, Peggy L. Peissig, Gerard Tromp, Joshua C. Denny, Justin B. Starren
Design patterns for the development of electronic health record-driven phenotype extraction algorithms. J. Biomed. Informatics 51 (2014)
Yirong Wu, Jie Liu, David Page, Peggy L. Peissig, Catherine A. McCarty, Adedayo A. Onitilo, Elizabeth S. Burnside
Comparing the Value of Mammographic Features and Genetic Variants in Breast Cancer Risk Prediction. AMIA (2014)
Shefali S. Verma, Peggy L. Peissig, Deanna S. Cross, Carol Waudby, Murray H. Brilliant, Catherine A. McCarty, Marylyn D. Ritchie
Benefits of Accurate Imputations in GWAS. EvoApplications (2014)
Girish N. Nadkarni, Omri Gottesman, James G. Linneman, Herbert S. Chase, Richard L. Berg, Samira Farouk, Vaneet Lotay, Stephen B. Ellis, George Hripcsak, Peggy L. Peissig, Chunhua Weng, Rajiv Nadukuru, Erwin P. Bottinger
Development and validation of an electronic phenotyping algorithm for chronic kidney disease. AMIA (2014)
Peggy L. Peissig, Vítor Santos Costa, Michael Caldwell, Carla Rottscheit, Richard L. Berg, Eneida A. Mendonça, David Page
Relational machine learning for electronic health record-driven phenotyping. J. Biomed. Informatics 52 (2014)
Jie Liu, David Page, Houssam Nassif, Jude W. Shavlik, Peggy L. Peissig, Catherine A. McCarty, Adedayo A. Onitilo, Elizabeth S. Burnside
Genetic Variants Improve Breast Cancer Risk Prediction on Mammograms. AMIA (2013)
Jie Liu, Chunming Zhang, Catherine A. McCarty, Peggy L. Peissig, Elizabeth S. Burnside, David Page
Graphical-model Based Multiple Testing under Dependence, with Applications to Genome-wide Association Studies CoRR (2012)
Peggy L. Peissig, Luke V. Rasmussen, Richard L. Berg, James G. Linneman, Catherine A. McCarty, Carol Waudby, Lin Chen, Joshua C. Denny, Russell A. Wilke, Jyotishman Pathak, David Carrell, Abel N. Kho, Justin B. Starren
Importance of multi-modal approaches to effectively identify cataract cases from electronic health records. J. Am. Medical Informatics Assoc. 19 (2) (2012)
Jeremy C. Weiss, Sriraam Natarajan, Peggy L. Peissig, Catherine A. McCarty, David Page
Machine Learning for Personalized Medicine: Predicting Primary Myocardial Infarction from Electronic Health Records. AI Mag. 33 (4) (2012)
Jie Liu, Chunming Zhang, Catherine A. McCarty, Peggy L. Peissig, Elizabeth S. Burnside, David Page
Graphical-model Based Multiple Testing under Dependence, with Applications to Genome-wide Association Studies. UAI (2012)
Emily Kawaler, Alexander G. Cobian, Peggy L. Peissig, Deanna S. Cross, Steven Yale, Mark W. Craven
Learning to Predict Post-Hospitalization VTE Risk from EHR Data. AMIA (2012)
Jie Liu, Chunming Zhang, Catherine A. McCarty, Peggy L. Peissig, Elizabeth S. Burnside, David Page
High-Dimensional Structured Feature Screening Using Binary Markov Random Fields. AISTATS (2012)
William K. Thompson, Luke V. Rasmussen, Jennifer A. Pacheco, Peggy L. Peissig, Joshua C. Denny, Abel N. Kho, Aaron W. Miller, Jyotishman Pathak
An Evaluation of the NQF Quality Data Model for Representing Electronic Health Record Driven Phenotyping Algorithms. AMIA (2012)
Abel N. Kho, M. Geoffrey Hayes, Laura Rasmussen-Torvik, Jennifer A. Pacheco, William K. Thompson, Loren L. Armstrong, Joshua C. Denny, Peggy L. Peissig, Aaron W. Miller, Wei-Qi Wei, Suzette J. Bielinski, Christopher G. Chute, Cynthia L. Leibson, Gail P. Jarvik, David R. Crosslin, Christopher S. Carlson, Katherine M. Newton, Wendy A. Wolf, Rex L. Chisholm, William L. Lowe
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. 19 (2) (2012)
Jeremy C. Weiss, Sriraam Natarajan, Peggy L. Peissig, Catherine A. McCarty, David Page
Statistical Relational Learning to Predict Primary Myocardial Infarction from Electronic Health Records. IAAI (2012)
David Page, Vítor Santos Costa, Sriraam Natarajan, Aubrey Barnard, Peggy L. Peissig, Michael Caldwell
Identifying Adverse Drug Events by Relational Learning. AAAI (2012)
Robert J. Carroll, Katherine P. Liao, Anne E. Eyler, Lisa Bastarache, Dana C. Crawford, Peggy L. Peissig, Jyotishman Pathak, David Carrell, Abel N. Kho, Rongling Li, Daniel R. Masys, Gail P. Jarvik, Christopher G. Chute, Rex L. Chisholm, Eric B. Larson, Catherine A. McCarty, Iftikhar J. Kullo
Using PheWAS to Assess Pleiotropy of Genetic Risk Scores for Rheumatoid Arthritis and Coronary Artery Disease in the eMERGE Network. AMIA (2012)
Luke V. Rasmussen, Peggy L. Peissig, Catherine A. McCarty, Justin Starren
Development of an optical character recognition pipeline for handwritten form fields from an electronic health record. J. Am. Medical Informatics Assoc. 19 (e1) (2012)
Jesse Davis, Vítor Santos Costa, Elizabeth Berg, David Page, Peggy L. Peissig, Michael Caldwell
Demand-Driven Clustering in Relational Domains for Predicting Adverse Drug Events. ICML (2012)
Jonathan S. Schildcrout, Melissa A. Basford, Jill M. Pulley, Daniel R. Masys, Dan M. Roden, Deede Wang, Christopher G. Chute, Iftikhar J. Kullo, David Carrell, Peggy L. Peissig, Abel N. Kho, Joshua C. Denny
An analytical approach to characterize morbidity profile dissimilarity between distinct cohorts using electronic medical records. J. Biomed. Informatics 43 (6) (2010)
E. Sirohi, Peggy L. Peissig
Study of Effect of Drug Lexicons on Medication Extraction from Electronic Medical Records. Pacific Symposium on Biocomputing (2005)