Peggy L. Peissig

65 papers A* 6A 2B 1C 1Misc 13Journal 27Unranked 13

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Temporal Inverse Probability Weighting for Causal Discovery in Controlled Before-After Studies: Discovering ADEs in Generics. CLeaR Aubrey Barnard, Peggy L. Peissig, David Page
2022	J	`jnl`	Under-specification as the source of ambiguity and vagueness in narrative phenotype algorithm definitions. BMC Medical Informatics Decis. Mak. 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
2021	J	`jnl`	Medical records-based chronic kidney disease phenotype for clinical care and "big data" observational and genetic studies. npj Digit. Medicine 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
2020	—	`conf`	Adverse drug reaction discovery from electronic health records with deep neural networks. CHIL Wei Zhang, Zhaobin Kuang, Peggy L. Peissig, David Page
2020	J	`jnl`	High-Throughput Approach to Modeling Healthcare Costs Using Electronic Healthcare Records. CoRR Alexander K. Taylor, Ross Kleiman, Scott J. Hebbring, Peggy L. Peissig, David Page
2020	J	`jnl`	Temporal Poisson Square Root Graphical Models. CoRR Sinong Geng, Zhaobin Kuang, Peggy L. Peissig, David Page
2019	J	`jnl`	An Application of Manifold Learning in Global Shape Descriptors. Algorithms Fereshteh S. Bashiri, Reihaneh Rostami, Peggy L. Peissig, Roshan M. D'Souza, Zeyun Yu
2019	J	`jnl`	An Application of Manifold Learning in Global Shape Descriptors. CoRR Fereshteh S. Bashiri, Reihaneh Rostami, Peggy L. Peissig, Roshan M. D'Souza, Zeyun Yu
2019	J	`jnl`	Facilitating phenotype transfer using a common data model. J. Biomed. Informatics 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
2019	J	`jnl`	High-Throughput Machine Learning from Electronic Health Records. CoRR Ross S. Kleiman, Paul S. Bennett, Peggy L. Peissig, Richard L. Berg, Zhaobin Kuang, Scott J. Hebbring, Michael D. Caldwell, David Page
2019	—	`conf`	Lung Nodule Classification Using Combined Deep and Spectral 3D Shape Features. BHI Fereshteh S. Bashiri, Jonathan C. Badger, Roshan M. D'Souza, Zeyun Yu, Peggy L. Peissig
2019	J	`jnl`	Machine learning for phenotyping opioid overdose events. J. Biomed. Informatics Jonathan C. Badger, Eric LaRose, John Mayer, Fereshteh S. Bashiri, David Page, Peggy L. Peissig
2019	J	`jnl`	Pharmacogenomic clinical decision support design and multi-site process outcomes analysis in the eMERGE Network. J. Am. Medical Informatics Assoc. Timothy M. Herr, Josh F. Peterson, Luke V. Rasmussen, Pedro J. Caraballo, Peggy L. Peissig, Justin B. Starren
2018	J	`jnl`	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. 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
2018	—	`conf`	Diagnostic Classification of Lung CT Images Using Deep 3D Multi-Scale Convolutional Neural Network. ICHI Ahmad Pahlavan Tafti, Fereshteh S. Bashiri, Eric LaRose, Peggy L. Peissig
2018	Misc	`conf`	Improving breast cancer risk prediction by using demographic risk factors, abnormality features on mammograms and genetic variants. AMIA Shara Feld, Kaitlin M. Woo, Roxana Alexandridis, Yirong Wu, Jie Liu, Peggy L. Peissig, Adedayo A. Onitilo, Jennifer Cox, David Page, Elizabeth S. Burnside
2018	Misc	`conf`	Object Detection to Assist Visually Impaired People: A Deep Neural Network Adventure. ISVC Fereshteh S. Bashiri, Eric LaRose, Jonathan C. Badger, Roshan M. D'Souza, Zeyun Yu, Peggy L. Peissig
2018	—	`conf`	Quantifying predictive capability of electronic health records for the most harmful breast cancer. Image Perception, Observer Performance, and Technology Assessment Yirong Wu, Jun Fan, Peggy L. Peissig, Richard L. Berg, Ahmad Pahlavan Tafti, Jie Yin, Ming Yuan, David Page, Jennifer Cox, Elizabeth S. Burnside
2018	A*	`conf`	Temporal Poisson Square Root Graphical Models. ICML Sinong Geng, Zhaobin Kuang, Peggy L. Peissig, David Page
2017	—	`conf`	Breast Cancer Risk Prediction Using Electronic Health Records. ICHI Yirong Wu, Elizabeth S. Burnside, Jennifer Cox, Jun Fan, Ming Yuan, Jie Yin, Peggy L. Peissig, Alexander G. Cobian, David Page, Mark W. Craven
2017	—	`conf`	Entity Matching Using Magellan: Matching Drug Reference Tables. CRI Eric R. LaRose, Jonathan C. Badger, Pradap Konda, AnHai Doan, Peggy L. Peissig
2017	J	`jnl`	Evaluating electronic health record data sources and algorithmic approaches to identify hypertensive individuals. J. Am. Medical Informatics Assoc. 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
2017	—	`conf`	Hawkes Process Modeling of Adverse Drug Reactions with Longitudinal Observational Data. MLHC Yujia Bao, Zhaobin Kuang, Peggy L. Peissig, David Page, Rebecca Willett
2017	—	`conf`	Machine Learning-as-a-Service and Its Application to Medical Informatics. MLDM Ahmad Pahlavan Tafti, Eric LaRose, Jonathan C. Badger, Ross Kleiman, Peggy L. Peissig
2017	A*	`conf`	Pharmacovigilance via Baseline Regularization with Large-Scale Longitudinal Observational Data. KDD Zhaobin Kuang, Peggy L. Peissig, Vítor Santos Costa, Richard Maclin, David Page
2017	—	`conf`	SCCS for Detection of Differences in Brand and Generic Adverse Drug Events. CRI Jonathan C. Badger, Eric R. LaRose, Ross Kleiman, Richard L. Berg, James G. Linneman, Richard Hansen, David Page, Peggy L. Peissig
2017	—	`conf`	bigNN: An open-source big data toolkit focused on biomedical sentence classification. IEEE BigData Ahmad Pahlavan Tafti, Ehsun Behravesh, Mehdi Assefi, Eric LaRose, Jonathan C. Badger, John Mayer, AnHai Doan, David Page, Peggy L. Peissig
2016	J	`jnl`	A multi-institution evaluation of clinical profile anonymization. J. Am. Medical Informatics Assoc. Raymond Heatherly, Luke V. Rasmussen, Peggy L. Peissig, Jennifer A. Pacheco, Paul A. Harris, Joshua C. Denny, Bradley A. Malin
2016	A*	`conf`	Baseline Regularization for Computational Drug Repositioning with Longitudinal Observational Data. IJCAI Zhaobin Kuang, James A. Thomson, Michael Caldwell, Peggy L. Peissig, Ron M. Stewart, David Page
2016	Misc	`conf`	Biofilter as a Functional Annotation Pipeline for Common and Rare Copy Number Burden. PSB 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
2016	A*	`conf`	Computational Drug Repositioning Using Continuous Self-Controlled Case Series. KDD Zhaobin Kuang, James A. Thomson, Michael Caldwell, Peggy L. Peissig, Ron M. Stewart, David Page
2016	Misc	`conf`	Developing an NLP Pipeline for Thyroid Ultrasound Reporting. AMIA Rajesh Koralkar, Eric LaRose, Yiqiang Song, David F. Schneider, Peggy L. Peissig
2016	—	`conf`	Discriminatory power of common genetic variants in personalized breast cancer diagnosis. Image Perception, Observer Performance, and Technology Assessment Yirong Wu, Craig K. Abbey, Jie Liu, Irene M. Ong, Peggy L. Peissig, Adedayo A. Onitilo, Jun Fan, Ming Yuan, Elizabeth S. Burnside
2016	J	`jnl`	Identification of genetic interaction networks via an evolutionary algorithm evolved Bayesian network. BioData Min. 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
2016	Misc	`conf`	Knowledge Driven Binning and PheWAS Analysis in Marshfield Personalized Medicine Research Project Using BioBin. PSB Anna Okula Basile, John R. Wallace, Peggy L. Peissig, Catherine A. McCarty, Murray H. Brilliant, Marylyn D. Ritchie
2016	—	`conf`	OCR as a Service: An Experimental Evaluation of Google Docs OCR, Tesseract, ABBYY FineReader, and Transym. ISVC (1) Ahmad Pahlavan Tafti, Ahmadreza Baghaie, Mehdi Assefi, Hamid R. Arabnia, Zeyun Yu, Peggy L. Peissig
2016	J	`jnl`	PheKB: a catalog and workflow for creating electronic phenotype algorithms for transportability. J. Am. Medical Informatics Assoc. 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
2016	J	`jnl`	Practical considerations for implementing genomic information resources. Appl. Clin. Inform. 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
2016	—	`ch.`	Relational Learning for Sustainable Health. Computational Sustainability Sriraam Natarajan, Peggy L. Peissig, David Page
2016	J	`jnl`	Structure-Leveraged Methods in Breast Cancer Risk Prediction. J. Mach. Learn. Res. Jun Fan, Yirong Wu, Ming Yuan, David Page, Jie Liu, Irene M. Ong, Peggy L. Peissig, Elizabeth S. Burnside
2015	Misc	`conf`	A Genome- and Phenome- Wide Study of Diverticulosis. AMIA 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
2015	J	`jnl`	CSER and eMERGE: current and potential state of the display of genetic information in the electronic health record. J. Am. Medical Informatics Assoc. 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
2015	J	`jnl`	Desiderata for computable representations of electronic health records-driven phenotype algorithms. J. Am. Medical Informatics Assoc. 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
2015	—	`ch.`	Predicting Adverse Drug Events from Electronic Medical Records. Foundations of Biomedical Knowledge Representation Jesse Davis, Vítor Santos Costa, Peggy L. Peissig, Michael Caldwell, David Page
2014	B	`conf`	Benefits of Accurate Imputations in GWAS. EvoApplications Shefali S. Verma, Peggy L. Peissig, Deanna S. Cross, Carol Waudby, Murray H. Brilliant, Catherine A. McCarty, Marylyn D. Ritchie
2014	Misc	`conf`	Comparing the Value of Mammographic Features and Genetic Variants in Breast Cancer Risk Prediction. AMIA Yirong Wu, Jie Liu, David Page, Peggy L. Peissig, Catherine A. McCarty, Adedayo A. Onitilo, Elizabeth S. Burnside
2014	J	`jnl`	Design patterns for the development of electronic health record-driven phenotype extraction algorithms. J. Biomed. Informatics 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
2014	Misc	`conf`	Development and validation of an electronic phenotyping algorithm for chronic kidney disease. AMIA 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
2014	J	`jnl`	Relational machine learning for electronic health record-driven phenotyping. J. Biomed. Informatics Peggy L. Peissig, Vítor Santos Costa, Michael Caldwell, Carla Rottscheit, Richard L. Berg, Eneida A. Mendonça, David Page
2013	Misc	`conf`	Genetic Variants Improve Breast Cancer Risk Prediction on Mammograms. AMIA Jie Liu, David Page, Houssam Nassif, Jude W. Shavlik, Peggy L. Peissig, Catherine A. McCarty, Adedayo A. Onitilo, Elizabeth S. Burnside
2012	Misc	`conf`	An Evaluation of the NQF Quality Data Model for Representing Electronic Health Record Driven Phenotyping Algorithms. AMIA William K. Thompson, Luke V. Rasmussen, Jennifer A. Pacheco, Peggy L. Peissig, Joshua C. Denny, Abel N. Kho, Aaron W. Miller, Jyotishman Pathak
2012	A*	`conf`	Demand-Driven Clustering in Relational Domains for Predicting Adverse Drug Events. ICML Jesse Davis, Vítor Santos Costa, Elizabeth Berg, David Page, Peggy L. Peissig, Michael Caldwell
2012	J	`jnl`	Development of an optical character recognition pipeline for handwritten form fields from an electronic health record. J. Am. Medical Informatics Assoc. Luke V. Rasmussen, Peggy L. Peissig, Catherine A. McCarty, Justin Starren
2012	J	`jnl`	Graphical-model Based Multiple Testing under Dependence, with Applications to Genome-wide Association Studies CoRR Jie Liu, Chunming Zhang, Catherine A. McCarty, Peggy L. Peissig, Elizabeth S. Burnside, David Page
2012	A	`conf`	Graphical-model Based Multiple Testing under Dependence, with Applications to Genome-wide Association Studies. UAI Jie Liu, Chunming Zhang, Catherine A. McCarty, Peggy L. Peissig, Elizabeth S. Burnside, David Page
2012	A	`conf`	High-Dimensional Structured Feature Screening Using Binary Markov Random Fields. AISTATS Jie Liu, Chunming Zhang, Catherine A. McCarty, Peggy L. Peissig, Elizabeth S. Burnside, David Page
2012	A*	`conf`	Identifying Adverse Drug Events by Relational Learning. AAAI David Page, Vítor Santos Costa, Sriraam Natarajan, Aubrey Barnard, Peggy L. Peissig, Michael Caldwell
2012	J	`jnl`	Importance of multi-modal approaches to effectively identify cataract cases from electronic health records. J. Am. Medical Informatics Assoc. 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
2012	Misc	`conf`	Learning to Predict Post-Hospitalization VTE Risk from EHR Data. AMIA Emily Kawaler, Alexander G. Cobian, Peggy L. Peissig, Deanna S. Cross, Steven Yale, Mark W. Craven
2012	J	`jnl`	Machine Learning for Personalized Medicine: Predicting Primary Myocardial Infarction from Electronic Health Records. AI Mag. Jeremy C. Weiss, Sriraam Natarajan, Peggy L. Peissig, Catherine A. McCarty, David Page
2012	C	`conf`	Statistical Relational Learning to Predict Primary Myocardial Infarction from Electronic Health Records. IAAI Jeremy C. Weiss, Sriraam Natarajan, Peggy L. Peissig, Catherine A. McCarty, David Page
2012	J	`jnl`	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. 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
2012	Misc	`conf`	Using PheWAS to Assess Pleiotropy of Genetic Risk Scores for Rheumatoid Arthritis and Coronary Artery Disease in the eMERGE Network. AMIA 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
2010	J	`jnl`	An analytical approach to characterize morbidity profile dissimilarity between distinct cohorts using electronic medical records. J. Biomed. Informatics 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
2005	Misc	`conf`	Study of Effect of Drug Lexicons on Medication Extraction from Electronic Medical Records. Pacific Symposium on Biocomputing E. Sirohi, Peggy L. Peissig