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ORCIDPeggy L. Peissig
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- affiliation: Marshfield Clinic Research Foundation, Marshfield, WI, USA
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2020 – today
- 2022
[j22]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): 23 (2022)- 2021
- [j21]Ning Shang
, Atlas Khan, Fernanda Polubriaginof, Francesca Zanoni, Karla Mehl, David Fasel, Paul E. Drawz, Robert J. Carroll, 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) - 2020
- [c35]Wei Zhang, Zhaobin Kuang, Peggy L. Peissig, David Page:
Adverse drug reaction discovery from electronic health records with deep neural networks. CHIL 2020: 30-39 - [i5]Sinong Geng, Zhaobin Kuang, Peggy L. Peissig, David Page:
Temporal Poisson Square Root Graphical Models. CoRR abs/2005.06462 (2020) - [i4]Alexander K. Taylor, Ross Kleiman, Scott J. Hebbring, Peggy L. Peissig, David Page:
High-Throughput Approach to Modeling Healthcare Costs Using Electronic Healthcare Records. CoRR abs/2011.09497 (2020)
2010 – 2019
- 2019
- [j20]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): 171 (2019) - [j19]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): 143-148 (2019) - [j18]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) - [j17]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) - [c34]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: 1-4 - [i3]Fereshteh S. Bashiri, Reihaneh Rostami, Peggy L. Peissig, Roshan M. D'Souza, Zeyun Yu:
An Application of Manifold Learning in Global Shape Descriptors. CoRR abs/1901.02508 (2019) - [i2]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 abs/1907.01901 (2019) - 2018
- [j16]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): 1540-1546 (2018) - [c33]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 - [c32]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: 412-414 - [c31]Sinong Geng, Zhaobin Kuang, Peggy L. Peissig, David Page:
Temporal Poisson Square Root Graphical Models. ICML 2018: 1700-1709 - [c30]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: 500-510 - [c29]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. Image Perception, Observer Performance, and Technology Assessment 2018: 105770J - 2017
- [j15]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): 162-171 (2017) - [c28]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: 3888-3896 - [c27]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 - [c26]Eric R. LaRose, Jonathan C. Badger, Pradap Konda, AnHai Doan, Peggy L. Peissig:
Entity Matching Using Magellan: Matching Drug Reference Tables. CRI 2017 - [c25]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: 224-228 - [c24]Zhaobin Kuang, Peggy L. Peissig, Vítor Santos Costa, Richard Maclin, David Page:
Pharmacovigilance via Baseline Regularization with Large-Scale Longitudinal Observational Data. KDD 2017: 1537-1546 - [c23]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: 206-219 - [c22]Yujia Bao, Zhaobin Kuang, Peggy L. Peissig, David Page, Rebecca Willett:
Hawkes Process Modeling of Adverse Drug Reactions with Longitudinal Observational Data. MLHC 2017: 177-190 - 2016
- [j14]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. 07(03): 870-882 (2016) - [j13]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: 18 (2016) - [j12]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): 1046-1052 (2016) - [j11]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): e131-e137 (2016) - [j10]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: 85:1-85:15 (2016) - [c21]Rajesh Koralkar, Eric LaRose, Yiqiang Song, David F. Schneider, Peggy L. Peissig:
Developing an NLP Pipeline for Thyroid Ultrasound Reporting. AMIA 2016 - [c20]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: 2521-2528 - [c19]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: 735-746 - [c18]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: 491-500 - [c17]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. Image Perception, Observer Performance, and Technology Assessment 2016: 978706 - [c16]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: 249-260 - [c15]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: 357-368 - [p2]Sriraam Natarajan, Peggy L. Peissig, David Page:
Relational Learning for Sustainable Health. Computational Sustainability 2016: 245-264 - 2015
- [j9]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): 1220-1230 (2015) - [j8]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): 1231-1242 (2015) - [c14]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 - [p1]Jesse Davis, Vítor Santos Costa, Peggy L. Peissig, Michael Caldwell, David Page:
Predicting Adverse Drug Events from Electronic Medical Records. Foundations of Biomedical Knowledge Representation 2015: 243-257 - 2014
- [j7]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: 280-286 (2014) - [j6]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: 260-270 (2014) - [c13]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 - [c12]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 - [c11]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: 877-889 - 2013
- [c10]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 - 2012
- [j5]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): 33-45 (2012) - [j4]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): 212-218 (2012) - [j3]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): 225-234 (2012) - [j2]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) - [c9]David Page, Vítor Santos Costa, Sriraam Natarajan, Aubrey Barnard, Peggy L. Peissig, Michael Caldwell:
Identifying Adverse Drug Events by Relational Learning. AAAI 2012: 1599-1605 - [c8]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 - [c7]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 - [c6]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 - [c5]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: 2341-2347 - [c4]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 - [c3]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: 511-522 - [c2]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: 712-721 - [i1]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 abs/1210.4868 (2012) - 2010
- [j1]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): 914-923 (2010)
2000 – 2009
- 2005
- [c1]E. Sirohi, Peggy L. Peissig:
Study of Effect of Drug Lexicons on Medication Extraction from Electronic Medical Records. Pacific Symposium on Biocomputing 2005
Coauthor Index
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