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ORCIDDanielle L. Mowery
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- affiliation: University of Pittsburgh, Department of Biomedical Informatics
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2020 – today
- 2023
[j16]Emily J. Getzen, Lyle H. Ungar, Danielle L. Mowery
, Xiaoqian Jiang, Qi Long:
Mining for equitable health: Assessing the impact of missing data in electronic health records. J. Biomed. Informatics 139: 104269 (2023)- [j15]Amelia L. M. Tan, Emily J. Getzen, Meghan R. Hutch, Zachary H. Strasser, Alba Gutiérrez-Sacristán, Trang T. Le, Arianna Dagliati, Michele Morris, David A. Hanauer, Bertrand Moal, Clara-Lea Bonzel, William Yuan, Lorenzo Chiudinelli, Priam Das, Harrison G. Zhang, Bruce J. Aronow, Paul Avillach, Gabriel A. Brat, Tianxi Cai, Chuan Hong, William G. La Cava, He Hooi Will Loh, Yuan Luo, Shawn N. Murphy, Kee Yuan Hgiam, Gilbert S. Omenn, Lav P. Patel, Malarkodi J. Samayamuthu, Emily R. Shriver, Zahra Shakeri Hossein Abad, Byorn W. L. Tan, Shyam Visweswaran, Xuan Wang, Griffin M. Weber, Zongqi Xia, Bertrand Verdy, Qi Long, Danielle L. Mowery, John H. Holmes:
Informative missingness: What can we learn from patterns in missing laboratory data in the electronic health record? J. Biomed. Informatics 139: 104306 (2023) - [j14]Andrew J. King, Derek C. Angus, Gregory F. Cooper, Danielle L. Mowery, Jennifer B. Seaman, Kelly M. Potter, Leigh A. Bukowski, Ali Al-Khafaji, Scott R. Gunn, Jeremy M. Kahn:
A voice-based digital assistant for intelligent prompting of evidence-based practices during ICU rounds. J. Biomed. Informatics 146: 104483 (2023) - [c45]Sy Hwang, Sujatha Reddy, Katherine Wainwright, Emily Schriver, Anne Cappola, Danielle L. Mowery:
Using Natural Language Processing to Extract and Classify Symptoms Among Patients with Thyroid Dysfunction. MedInfo 2023: 614-618 - [c44]Audrey Yang, Sam Kamien, Anahita Davoudi, Sy Hwang, Meet Gandhi, Ryan J. Urbanowicz, Danielle L. Mowery:
Relation Detection to Identify Stroke Assertions from Clinical Notes Using Natural Language Processing. MedInfo 2023: 619-623 - [i2]Ryan J. Urbanowicz, Harsh Bandhey, Brendan T. Keenan, Greg Maislin, Sy Hwang, Danielle L. Mowery, Shannon M. Lynch, Diego R. Mazzotti, Fang Han, Qing Yun Li, Thomas Penzel, Sergio Tufik, Lia Bittencourt, Thorarinn Gislason, Philip de Chazal, Bhajan Singh, Nigel McArdle, Ning-Hung Chen, Allan Pack, Richard J. Schwab, Peter A. Cistulli, Ulysses J. Magalang:
STREAMLINE: An Automated Machine Learning Pipeline for Biomedicine Applied to Examine the Utility of Photography-Based Phenotypes for OSA Prediction Across International Sleep Centers. CoRR abs/2312.05461 (2023) - 2022
- [j13]Xuan Wang, Harrison G. Zhang, Xin Xiong, Chuan Hong, Griffin M. Weber, Gabriel A. Brat, Clara-Lea Bonzel, Yuan Luo, Rui Duan, Nathan P. Palmer, Meghan R. Hutch, Alba Gutiérrez-Sacristán, Riccardo Bellazzi, Luca Chiovato, Kelly Cho, Arianna Dagliati, Hossein Estiri, Noelia García-Barrio, Romain Griffier, David A. Hanauer, Yuk-Lam Ho, John H. Holmes, Mark S. Keller, Jeffrey G. Klann, Sehi L'Yi, Sara Lozano-Zahonero, Sarah E. Maidlow, Adeline Makoudjou, Alberto Malovini, Bertrand Moal, Jason H. Moore, Michele Morris, Danielle L. Mowery, Shawn N. Murphy, Antoine Neuraz, Kee Yuan Ngiam, Gilbert S. Omenn, Lav P. Patel, Miguel Pedrera-Jiménez, Andrea Prunotto, Malarkodi J. Samayamuthu, Fernando J. Sanz Vidorreta, Emily Schriver, Petra Schubert, Pablo Serrano-Balazote, Andrew M. South, Amelia L. M. Tan, Byorn W. L. Tan, Valentina Tibollo, Patric Tippmann, Shyam Visweswaran, Zongqi Xia, William Yuan, Daniela Zöller, Isaac S. Kohane, Paul Avillach, Zijian Guo, Tianxi Cai:
SurvMaximin: Robust federated approach to transporting survival risk prediction models. J. Biomed. Informatics 134: 104176 (2022) - [c43]Erin E. Kennedy, Anahita Davoudi, Sy Hwang, Ryan J. Urbanowicz, Philip Freda, Kathy Bowles, Danielle L. Mowery:
Identifying Barriers to Post-Acute Care Referral and Characterizing Negative Patient Preferences Among Hospitalized Older Adults Using Natural Language Processing. AMIA 2022 - 2021
- [j12]Jeffrey G. Klann, Hossein Estiri, Griffin M. Weber, Bertrand Moal, Paul Avillach, Chuan Hong, Amelia L. M. Tan, Brett K. Beaulieu-Jones, Victor M. Castro, Thomas Maulhardt, Alon Geva, Alberto Malovini, Andrew M. South, Shyam Visweswaran, Michele Morris, Malarkodi J. Samayamuthu, Gilbert S. Omenn, Kee Yuan Ngiam, Kenneth D. Mandl, Martin Boeker, Karen L. Olson, Danielle L. Mowery, Robert W. Follett, David A. Hanauer, Riccardo Bellazzi, Jason H. Moore, Ne-Hooi Will Loh, Douglas S. Bell, Kavishwar B. Wagholikar, Luca Chiovato, Valentina Tibollo, Siegbert Rieg, Anthony L. L. J. Li, Vianney Jouhet, Emily Schriver, Zongqi Xia, Meghan Hutch, Yuan Luo, Isaac S. Kohane, Gabriel A. Brat, Shawn N. Murphy:
Validation of an internationally derived patient severity phenotype to support COVID-19 analytics from electronic health record data. J. Am. Medical Informatics Assoc. 28(7): 1411-1420 (2021) - 2020
- [j11]Jason H. Moore, Ian Barnett, Mary Regina Boland, Yong Chen, George Demiris, Graciela Gonzalez-Hernandez, Daniel S. Herman, Blanca E. Himes, Rebecca A. Hubbard, Dokyoon Kim, Jeffrey S. Morris, Danielle L. Mowery, Marylyn D. Ritchie, Li Shen, Ryan J. Urbanowicz, John H. Holmes:
Ideas for how informaticians can get involved with COVID-19 research. BioData Min. 13(1): 3 (2020) - [j10]Judy Hong, Anahita Davoudi, Shun Yu, Danielle L. Mowery:
Annotation and extraction of age and temporally-related events from clinical histories. BMC Medical Informatics Decis. Mak. 20-S(11): 338 (2020) - [j9]Gabriel A. Brat, Griffin M. Weber, Nils Gehlenborg, Paul Avillach, Nathan P. Palmer, Luca Chiovato, James J. Cimino, Lemuel R. Waitman, Gilbert S. Omenn, Alberto Malovini, Jason H. Moore, Brett K. Beaulieu-Jones, Valentina Tibollo, Shawn N. Murphy, Sehi L'Yi, Mark S. Keller, Riccardo Bellazzi, David A. Hanauer, Arnaud Serret-Larmande, Alba Gutiérrez-Sacristán, John J. Holmes, Douglas S. Bell, Kenneth D. Mandl, Robert W. Follett, Jeffrey G. Klann, Douglas A. Murad, Luigia Scudeller, Mauro Bucalo, Katie G. Kirchoff, Jean B. Craig, Jihad S. Obeid, Vianney Jouhet, Romain Griffier, Sébastien Cossin, Bertrand Moal, Lav P. Patel, Antonio Bellasi, Hans-Ulrich Prokosch, Detlef Kraska, Piotr Sliz, Amelia L. M. Tan, Kee Yuan Ngiam, Alberto Zambelli, Danielle L. Mowery, Emily Schriver, Batsal Devkota, Robert L. Bradford, Mohamad Daniar, Christel Daniel, Vincent Benoit, Romain Bey, Nicolas Paris, Patricia Serre, Nina Orlova, Julien Dubiel, Martin Hilka, Anne-Sophie Jannot, Stéphane Bréant, Judith Leblanc, Nicolas Griffon, Anita Burgun, Mélodie Bernaux, Arnaud Sandrin, Elisa Salamanca, Sylvie Cormont, Thomas Ganslandt, Tobias Gradinger, Julien Champ, Martin Boeker, Patricia Martel, Loic Esteve, Alexandre Gramfort, Olivier Grisel, Damien Leprovost, Thomas Moreau, Gaël Varoquaux, Jill-Jênn Vie, Demian Wassermann, Arthur Mensch, Charlotte Caucheteux, Christian Haverkamp, Guillaume Lemaitre, Silvano Bosari, Ian D. Krantz, Andrew M. South, Tianxi Cai, Isaac S. Kohane:
International electronic health record-derived COVID-19 clinical course profiles: the 4CE consortium. npj Digit. Medicine 3 (2020) - [c42]Junjie Wang, Shun Yu, Anahita Davoudi, Danielle L. Mowery:
A Preliminary Characterization of Canonicalized and Non-Canonicalized Section Headers Across Variable Clinical Note Types. AMIA 2020
2010 – 2019
- 2019
- [j8]Mike Conway, Salomeh Keyhani, Lee M. Christensen, Brett R. South, Marzieh Vali, Louise C. Walter, Danielle L. Mowery, Samir E. AbdelRahman, Wendy W. Chapman:
Moonstone: a novel natural language processing system for inferring social risk from clinical narratives. J. Biomed. Semant. 10(1): 6:1-6:10 (2019) - [c41]Jianlin Shi, Kensaku Kawamoto, Wendy Kohlmann, Danielle L. Mowery, Richard L. Bradshaw, Subhadeep Deep, Wendy W. Chapman, Guilherme Del Fiol:
Extracting Disease Onset from Family History Comments in the Electronic Health Record using Fast Healthcare Interoperability Resources. AMIA 2019 - [c40]David L. Birtwell, Heather Williams, Reed Pyeritz, Scott Damrauer, Danielle L. Mowery:
Carnival: A Graph-Based Data Integration and Query Tool to Support Patient Cohort Generation for Clinical Research. MedInfo 2019: 35-39 - 2018
- [c39]Danielle L. Mowery, Luke Martin, Brett R. South, Ellen Morrow, William Peche, Eric Wiesner, Wendy W. Chapman, Benjamin S. Brooke:
Detecting Current Episodes of Cholecystitis-related Pain from Veterans Affairs Clinical Notes using Natural Language Processing. AMIA 2018 - [c38]Jay S. Patel, Danielle L. Mowery, Anand Krishnan, Thankam P. Thyvalikakath:
Assessing Information Congruence of Documented Cardiovascular Disease between Electronic Dental and Medical Records. AMIA 2018 - 2017
- [c37]Jia-Wen Guo, Danielle L. Mowery, Djin Lai, Katherine A. Sward, Mike Conway:
A Corpus Analysis of Social Connections and Social Isolation in Adolescents Suffering from Depressive Disorders. CLPsych@ACL 2017: 26-31 - [c36]Alec B. Chapman, Danielle L. Mowery, Douglas S. Swords, Wendy W. Chapman, Brian T. Bucher:
Detecting Evidence of Intra-abdominal Surgical Site Infections from Radiology Reports Using Natural Language Processing. AMIA 2017 - [c35]Danielle L. Mowery, Brent D. Hill, Mingyuan Zhang, Wendy W. Chapman, Lisa A. Cannon-Albright, Jennifer Majersik:
A Comparison of Stroke Classifiers Leveraging Hospital Billing Codes versus Natural Language Processing. AMIA 2017 - [c34]Danielle L. Mowery, Brett R. South, Olga V. Patterson, Shu-Hong Zhu, Mike Conway:
Investigating the Documentation of Electronic Cigarette Use in the Veteran Affairs Electronic Health Record: A Pilot Study. BioNLP 2017: 282-286 - [c33]Brian T. Bucher, Danielle L. Mowery, Melissa Castine, Wendy W. Chapman:
Towards Automatic Detection of Surgical Site Infections. CRI 2017 - [c32]Elizabeth Cary, Aaron M. Secrest, Chrissy Daniels, Wendy W. Chapman, Mike Conway, Danielle L. Mowery:
Classifying Sentiment of Free-Text Comments in Patient Satisfaction Surveys. CRI 2017 - [c31]Danielle L. Mowery, Melissa Castine, Erin Madden, Salomeh Keyhani, Wendy W. Chapman:
Developing and Assessing the Complexity of a Knowledge Base for Extracting Indications from Carotid Ultrasounds for the Veterans Health Administration. CRI 2017 - [c30]Brett R. South, Lee M. Christensen, Danielle L. Mowery, Melissa Castine, Marzieh Vali, Marjorie Carter, Mike Conway, Adi V. Gundlapalli, Wendy W. Chapman, Salomeh Keyhani:
Automatic Extraction of Social Determinants of Health from Veterans Affairs Clinical Documents using Natural Language Processing. CRI 2017 - [c29]Jianlin Shi, Danielle L. Mowery, Mingyuan Zhang, Jessica Sanders, Wendy W. Chapman, Lori Gawron:
Extracting Intrauterine Device Usage from Clinical Texts Using Natural Language Processing. ICHI 2017: 568-571 - [i1]Danielle L. Mowery, Craig Bryan, Mike Conway:
Feature Studies to Inform the Classification of Depressive Symptoms from Twitter Data for Population Health. CoRR abs/1701.08229 (2017) - 2016
- [j7]Mike Conway, Artem Khojoyan, Fariba Fana, William Scuba, Melissa Castine, Danielle L. Mowery, Wendy W. Chapman, Simon Jupp:
Developing a web-based SKOS editor. J. Biomed. Semant. 7: 5 (2016) - [j6]Danielle L. Mowery, Brian E. Chapman, Mike Conway, Brett R. South, Erin Madden, Salomeh Keyhani, Wendy W. Chapman:
Extracting a stroke phenotype risk factor from Veteran Health Administration clinical reports: an information content analysis. J. Biomed. Semant. 7: 26 (2016) - [j5]William Scuba, Melissa Tharp, Danielle L. Mowery, Eugene Tseytlin, Yang Liu, Frank A. Drews, Wendy W. Chapman:
Knowledge Author: facilitating user-driven, domain content development to support clinical information extraction. J. Biomed. Semant. 7: 42 (2016) - [j4]Danielle L. Mowery, Brett R. South, Lee M. Christensen, Jianwei Leng, Laura-Maria Peltonen, Sanna Salanterä, Hanna Suominen, David Martínez, Sumithra Velupillai, Noémie Elhadad, Guergana Savova, Sameer Pradhan, Wendy W. Chapman:
Normalizing acronyms and abbreviations to aid patient understanding of clinical texts: ShARe/CLEF eHealth Challenge 2013, Task 2. J. Biomed. Semant. 7: 43 (2016) - [c28]Kristina Doing-Harris, Danielle L. Mowery, Chrissy Daniels, Wendy W. Chapman, Mike Conway:
Understanding patient satisfaction with received healthcare services: A natural language processing approach. AMIA 2016 - [c27]Danielle L. Mowery, Kristina M. Doing-Harris, Wendy W. Chapman, Chrissy Daniels, Mike Conway:
A Characterization of Emotional Valence to Support Review of Free-Text Press-Ganey Patient Satisfaction Survey Responses. AMIA 2016 - [c26]Jay S. Patel, Zasim Azhar Siddiqui, Danielle L. Mowery, Thankam P. Thyvalikakath:
Annotating patient smoking status from electronic dental record histories. AMIA 2016 - [c25]Jianlin Shi, Danielle L. Mowery, Kristina M. Doing-Harris, John F. Hurdle:
RuSH: a Rule-based Segmentation Tool Using Hashing for Extremely Accurate Sentence Segmentation of Clinical Text. AMIA 2016 - [c24]Sumithra Velupillai, Danielle L. Mowery, Mike Conway, John F. Hurdle, Brent Kious:
Vocabulary Development To Support Information Extraction of Substance Abuse from Psychiatry Notes. BioNLP@ACL 2016: 92-101 - [c23]Brian E. Chapman, Danielle L. Mowery, Evan Narasimhan, Neel Patel, Wendy W. Chapman, Marta E. Heilbrun:
Assessing the Feasibility of an Automated Suggestion System for Communicating Critical Findings from Chest Radiology Reports to Referring Physicians. BioNLP@ACL 2016: 181-185 - [c22]Danielle L. Mowery, Albert Park, Craig Bryan, Mike Conway:
Towards Automatically Classifying Depressive Symptoms from Twitter Data for Population Health. PEOPLES@COLING 2016: 182-191 - 2015
- [c21]Brett R. South, Danielle L. Mowery, Lee M. Christensen, Adi V. Gundlapalli, Melissa Tharp, Marzieh Vali, Marjorie E. Carter, Mike Conway, Salomeh Keyhani, Wendy W. Chapman:
Annotating ADLs and IADLs in Veterans Affairs Clinical Documents. AMIA 2015 - [c20]Sumithra Velupillai, Danielle L. Mowery, Samir E. AbdelRahman, Lee M. Christensen, Wendy W. Chapman:
Towards a Generalizable Time Expression Model for Temporal Reasoning in Clinical Notes. AMIA 2015 - [c19]Danielle L. Mowery, Craig Bryan, Mike Conway:
Towards Developing an Annotation Scheme for Depressive Disorder Symptoms: A Preliminary Study using Twitter Data. CLPsych@HLT-NAACL 2015: 89-98 - [c18]Sumithra Velupillai, Danielle L. Mowery, Samir E. AbdelRahman, Lee M. Christensen, Wendy W. Chapman:
BluLab: Temporal Information Extraction for the 2015 Clinical TempEval Challenge. SemEval@NAACL-HLT 2015: 815-819 - 2014
- [j3]Sumithra Velupillai, Maria Skeppstedt, Maria Kvist, Danielle L. Mowery, Brian E. Chapman, Hercules Dalianis, Wendy W. Chapman:
Cue-based assertion classification for Swedish clinical text - Developing a lexicon for pyConTextSwe. Artif. Intell. Medicine 61(3): 137-144 (2014) - [j2]Brett R. South, Danielle L. Mowery, Ying Suo, Jianwei Leng, Óscar Ferrández, Stéphane M. Meystre, Wendy W. Chapman:
Evaluating the effects of machine pre-annotation and an interactive annotation interface on manual de-identification of clinical text. J. Biomed. Informatics 50: 162-172 (2014) - [c17]Danielle L. Mowery, Daniel Franc, Shazia Ashfaq, Eric Cheng, Tania Zamora, Wendy W. Chapman, Brian E. Chapman:
Developing a Knowledge Base for Detecting Carotid Stenosis with pyConText. AMIA 2014 - [c16]Brett R. South, Danielle L. Mowery, Chris Leng, Stéphane M. Meystre, Wendy W. Chapman:
A System Usability Study Assessing a Machine-Assisted Interactive Interface to Support Annotation of Protected Health Information in Clinical Texts. AMIA 2014 - [c15]Sumithra Velupillai, Danielle L. Mowery, Lee M. Christensen, Noemie Elhadad, Sameer Pradhan, Guergana K. Savova, Wendy W. Chapman:
Disease/Disorder Semantic Template Filling - Information Extraction Challenge in the ShARe/CLEF eHealth Evaluation Lab 2014. AMIA 2014 - [c14]Danielle L. Mowery, Mindy K. Ross, Sumithra Velupillai, Stéphane M. Meystre, Janyce Wiebe, Wendy W. Chapman:
Generating Patient Problem Lists from the ShARe Corpus using SNOMED CT/SNOMED CT CORE Problem List. BioNLP@ACL 2014: 54-58 - [c13]Hanna Suominen, Tobias Schreck, Gondy Leroy, Harry Hochheiser, Lorraine Goeuriot, Liadh Kelly, Danielle L. Mowery, Jaume Nualart, Gabriela Ferraro, Daniel A. Keim:
Task 1 of the CLEF eHealth Evaluation Lab 2014. CLEF (Working Notes) 2014: 1-30 - [c12]Danielle L. Mowery, Sumithra Velupillai, Brett R. South, Lee M. Christensen, David Martínez, Liadh Kelly, Lorraine Goeuriot, Noémie Elhadad, Sameer Pradhan, Guergana K. Savova, Wendy W. Chapman:
Task 2: ShARe/CLEF eHealth Evaluation Lab 2014. CLEF (Working Notes) 2014: 31-42 - [c11]Liadh Kelly, Lorraine Goeuriot, Hanna Suominen, Tobias Schreck, Gondy Leroy, Danielle L. Mowery, Sumithra Velupillai, Wendy W. Chapman, David Martínez, Guido Zuccon, João R. M. Palotti:
Overview of the ShARe/CLEF eHealth Evaluation Lab 2014. CLEF 2014: 172-191 - 2013
- [c10]Danielle L. Mowery, Pamela W. Jordan, Janyce Wiebe, Henk Harkema, Wendy W. Chapman:
Semantic Annotation of Clinical Events for Generating a Problem List. AMIA 2013 - [c9]Danielle L. Mowery, Brett R. South, Jianwei Leng, Laura-Maria Murtola, Riitta Danielsson-Ojala, Sanna Salanterä, Wendy W. Chapman:
Creating a Reference Standard of Acronym and Abbreviation Annotations for the ShARe/CLEF eHealth Challenge 2013. AMIA 2013 - [c8]Danielle L. Mowery, Brett R. South, Lee M. Christensen, Laura-Maria Murtola, Sanna Salanterä, Hanna Suominen, David Martínez, Noémie Elhadad, Sameer Pradhan, Guergana K. Savova, Wendy W. Chapman:
Task 2: ShARe/CLEF eHealth Evaluation Lab 2013. CLEF (Working Notes) 2013 - [c7]Hanna Suominen, Sanna Salanterä, Sumithra Velupillai, Wendy Webber Chapman, Guergana K. Savova, Noemie Elhadad, Sameer Pradhan, Brett R. South, Danielle L. Mowery, Gareth J. F. Jones, Johannes Leveling, Liadh Kelly, Lorraine Goeuriot, David Martínez, Guido Zuccon:
Overview of the ShARe/CLEF eHealth Evaluation Lab 2013. CLEF 2013: 212-231 - [c6]Wendy Webber Chapman, Dieter Hillert, Sumithra Velupillai, Maria Kvist, Maria Skeppstedt, Brian E. Chapman, Mike Conway, Melissa Tharp, Danielle L. Mowery, Louise Deléger:
Extending the NegEx Lexicon for Multiple Languages. MedInfo 2013: 677-681 - 2012
- [j1]Danielle L. Mowery, Janyce Wiebe, Shyam Visweswaran, Henk Harkema, Wendy Webber Chapman:
Building an automated SOAP classifier for emergency department reports. J. Biomed. Informatics 45(1): 71-81 (2012) - [c5]Brett R. South, Danielle L. Mowery, Óscar Ferrández, Shuying Shen, Ying Suo, Mingyuan Zhang, Annie Chen, Liqin Wang, Stéphane M. Meystre, Wendy Webber Chapman:
On the Road Towards Developing a Publicly Available Corpus of De-identified Clinical Texts. AMIA 2012 - [c4]Danielle L. Mowery, Sumithra Velupillai, Wendy W. Chapman:
Medical diagnosis lost in translation - Analysis of uncertainty and negation expressions in English and Swedish clinical texts. BioNLP@HLT-NAACL 2012: 56-64 - [c3]Danielle L. Mowery, Pamela W. Jordan, Janyce Wiebe, Wendy Webber Chapman, Lin Liu:
Does Domain Knowledge Matter for Assertion Annotation in Clinical Texts? HISB 2012: 136
2000 – 2009
- 2009
- [c2]Danielle L. Mowery, Henk Harkema, John N. Dowling, Jonathan L. Lustgarten, Wendy W. Chapman:
Distinguishing Historical from Current Problems in Clinical Reports - Which Textual Features Help? BioNLP@HLT-NAACL 2009: 10-18 - 2008
- [c1]Danielle L. Mowery, Henk Harkema, Wendy W. Chapman:
Temporal Annotation of Clinical Text. BioNLP 2008: 106-107
Coauthor Index
Wendy W. Chapman
aka: Wendy Webber Chapman
aka: Wendy Webber Chapman
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