default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDMichael E. Matheny
Michael Edwin Matheny
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j43]Sharon E. Davis
, Peter J. Embí, Michael E. Matheny:
Sustainable deployment of clinical prediction tools - a 360° approach to model maintenance. J. Am. Medical Informatics Assoc. 31(5): 1195-1198 (2024)- [c55]James Thomas Brown, Ellen Wright Clayton, Michael E. Matheny, Murat Kantarcioglu, Yevgeniy Vorobeychik, Bradley A. Malin:
Robin Hood: A De-identification Method to Preserve Minority Representation for Disparities Research. PSD 2024: 67-83 - 2023
- [j42]Tsung-Ting Kuo, Anh Pham, Maxim E. Edelson, Jihoon Kim, Jason Chan, Yash Gupta, Lucila Ohno-Machado, David M. Anderson, Chandrasekar Balacha, Tyler Bath, Sally L. Baxter, Andrea Becker-Pennrich, Douglas S. Bell, Elmer V. Bernstam, Ngan Chau, Michele E. Day, Jason N. Doctor, Scott L. DuVall, Robert El-Kareh, Renato Florian, Robert W. Follett, Benjamin P. Geisler, Alessandro Ghigi, Assaf Gottlieb, Ludwig Christian G. Hinske, Zhaoxian Hu, Diana Ir, Xiaoqian Jiang, Katherine K. Kim, Tara K. Knight, Jejo D. Koola, Nelson Lee, Ulrich Mansmann, Michael E. Matheny, Daniella Meeker, Zongyang Mou, Larissa Neumann, Nghia H. Nguyen, Nick Anderson, Eunice Park, Paulina Paul, Mark J. Pletcher, Kai W. Post, Clemens Rieder, Clemens Scherer, Lisa M. Schilling, Andrey Soares, Spencer L. SooHoo, Ekin Soysal, Steven Covington, Brian Tep, Brian Toy, Baocheng Wang, Zhen R. Wu, Hua Xu, Yong K. Choi, Kai Zheng, Yujia Zhou, Rachel A Zucker:
Blockchain-enabled immutable, distributed, and highly available clinical research activity logging system for federated COVID-19 data analysis from multiple institutions. J. Am. Medical Informatics Assoc. 30(6): 1167-1178 (2023) - [j41]Alvin D. Jeffery, Carrie Reale, Janelle Faiman, Vera Borkowski, Russ Beebe, Michael E. Matheny, Shilo Anders:
Inpatient nurses' preferences and decisions with risk information visualization. J. Am. Medical Informatics Assoc. 31(1): 61-69 (2023) - [j40]Sharon E. Davis, Michael E. Matheny, Suresh Balu, Mark P. Sendak:
A framework for understanding label leakage in machine learning for health care. J. Am. Medical Informatics Assoc. 31(1): 274-280 (2023) - [c54]Scott L. DuVall, Craig G. Parker, Amanda R. Shields, Patrick R. Alba, Julie A. Lynch, Michael E. Matheny, Aaron W. C. Kamauu:
Toward Real-World Reproducibility: Verifying Value Sets for Clinical Research. MedInfo 2023: 164-168 - 2022
- [j39]Sharon E. Davis, Colin G. Walsh, Michael E. Matheny:
Open questions and research gaps for monitoring and updating AI-enabled tools in clinical settings. Frontiers Digit. Health 4 (2022) - [c53]Sharon E. Davis, Henry Ssemaganda, Jejo Koola, Jialin Mao, Dax M. Westerman, Theodore Speroff, Usha Govindarajulu, Craig Ramsay, Lucila Ohno-Machado, Frederic S. Resnic, Michael E. Matheny:
A Framework for Generating Synthetic Clinical Datasets with Learning Effects to Support Methods Development and Validation. AMIA 2022 - [c52]Jejo D. Koola, Jialin Mao, Sharon E. Davis, Henry Ssemaganda, Dax M. Westerman, Lucila Ohno-Machado, Frederic S. Resnic, Michael E. Matheny:
A Framework for Detecting Medical Device Safety Signals Confounded by Learning Effects Using Machine Learning. AMIA 2022 - [c51]Michael E. Matheny, Art Sedrakyan, Omar Badawi, Danica Marinac-Dabic, Frederic S. Resnic:
Can Data Science Move Medical Device Surveillance Forward? Highlights of Solutions and Remaining Challenges in Real-World Evidence Generation. AMIA 2022 - [c50]Henry Ssemaganda, Frederic S. Resnic, Sharon E. Davis, Usha Govindarajulu, Jejo Koola, Jialin Mao, Dax M. Westerman, Theodore Speroff, Craig Ramsay, Art Sedrakyan, Lucila Ohno-Machado, Michael E. Matheny:
Disentangling and Characterizing Device Safety Signals and Learning Effects. AMIA 2022 - [c49]Jesse O. Wrenn, Sara Lin, Jin Han, Ruth Reeves, Dax M. Westerman, Michael E. Matheny, Michael J. Ward:
AUTO-PILOT: Development and Validation of a Tool to Extract Structured Data in Interfacility Transfer Paperwork. AMIA 2022 - 2021
- [j38]Joachim Roski, Ezekiel J. Maier, Kevin Vigilante, Elizabeth A. Kane, Michael E. Matheny:
Enhancing trust in AI through industry self-governance. J. Am. Medical Informatics Assoc. 28(7): 1582-1590 (2021) - [j37]Jihoon Kim, Larissa Neumann, Paulina Paul, Michele E. Day, Michael Aratow, Douglas S. Bell, Jason N. Doctor, Ludwig Christian G. Hinske, Xiaoqian Jiang, Katherine K. Kim, Michael E. Matheny, Daniella Meeker, Mark J. Pletcher, Lisa M. Schilling, Spencer L. SooHoo, Hua Xu, Kai Zheng, Lucila Ohno-Machado:
Privacy-protecting, reliable response data discovery using COVID-19 patient observations. J. Am. Medical Informatics Assoc. 28(8): 1765-1776 (2021) - [j36]Ruth M. Reeves, Lee M. Christensen, Jeremiah R. Brown, Michael Conway, Maxwell Levis, Glenn T. Gobbel, Rashmee U. Shah, Christine Goodrich, Iben Ricket, Freneka F. Minter, Andrew Bohm, Bruce E. Bray, Michael E. Matheny, Wendy W. Chapman:
Adaptation of an NLP system to a new healthcare environment to identify social determinants of health. J. Biomed. Informatics 120: 103851 (2021) - [j35]Rishi J. Desai, Michael E. Matheny, Kevin Johnson, Keith Marsolo, Lesley H. Curtis, Jennifer C. Nelson, Patrick J. Heagerty, Judith C. Maro, Jeffrey S. Brown, Sengwee Toh, Michael D. Nguyen, Robert Ball, Gerald J. Dal Pan, Shirley V. Wang, Joshua J. Gagne, Sebastian Schneeweiss:
Broadening the reach of the FDA Sentinel system: A roadmap for integrating electronic health record data in a causal analysis framework. npj Digit. Medicine 4 (2021) - [c48]Sharon E. Davis, Praveen Kumar, Nicolas R. Lauve, Sharidan K. Parr, Daniel Park, Michael E. Matheny, Gerardo Villarreal, George Uhl, Yiliang Zhu, Mauricio Tohen, Douglas J. Perkins, Christophe G. Lambert:
Disparities in Coded and Imputed Post-Traumatic Stress Disorder and Self-Harm Among US Veterans. AMIA 2021 - [c47]Mirza S. Khan, Bennett A. Landman, Stephen A. Deppen, Michael E. Matheny:
Intrinsic Evaluation of Contextual and Non-contextual Word Embeddings using Radiology Reports. AMIA 2021 - 2020
- [j34]Jason N. Doctor, Jaideep Vaidya, Xiaoqian Jiang, Shuang Wang, Lisa M. Schilling, Toan Ong, Michael E. Matheny, Lucila Ohno-Machado, Daniella Meeker:
Efficient determination of equivalence for encrypted data. Comput. Secur. 97: 101939 (2020) - [j33]Xiao Dong, Jianfu Li, Ekin Soysal, Jiang Bian, Scott L. DuVall, Elizabeth Hanchrow, Hongfang Liu, Kristine E. Lynch, Michael E. Matheny, Karthik Natarajan, Lucila Ohno-Machado, Serguei Pakhomov, Ruth Madeleine Reeves, Amy M. Sitapati, Swapna Abhyankar, Theresa Cullen, Jami Deckard, Xiaoqian Jiang, Robert Murphy, Hua Xu:
COVID-19 TestNorm: A tool to normalize COVID-19 testing names to LOINC codes. J. Am. Medical Informatics Assoc. 27(9): 1437-1442 (2020) - [j32]Sharon E. Davis, Robert A. Greevy Jr., Thomas A. Lasko, Colin G. Walsh, Michael E. Matheny:
Detection of calibration drift in clinical prediction models to inform model updating. J. Biomed. Informatics 112: 103611 (2020) - [c46]Sharon E. Davis, Robert A. Greevy Jr., Thomas A. Lasko, Colin G. Walsh, Michael E. Matheny:
A Surveillance Framework for Monitoring and Updating Clinical Prediction Models. AMIA 2020 - [c45]Michael E. Matheny, Stephen L. Luther, William T. Roddy, Cynthia Brandt, Joseph J. Erdos:
Pain Management Collaboratory Coordinating Center (PMC3): Insights from Multiple Work Groups for Clinical Research Informatics Support. AMIA 2020
2010 – 2019
- 2019
- [j31]Kristine E. Lynch, Stephen A. Deppen, Scott L. DuVall, Benjamin Viernes, Aize Cao, Daniel Park, Elizabeth Hanchrow, Kushan Hewa, Peter Greaves, Michael E. Matheny:
Incrementally Transforming Electronic Medical Records into the Observational Medical Outcomes Partnership Common Data Model: A Multidimensional Quality Assurance Approach. Appl. Clin. Inform. 10(05): 794-803 (2019) - [j30]Sharon E. Davis, Robert A. Greevy Jr., Christopher Fonnesbeck, Thomas A. Lasko, Colin G. Walsh, Michael E. Matheny:
A nonparametric updating method to correct clinical prediction model drift. J. Am. Medical Informatics Assoc. 26(12): 1448-1457 (2019) - [j29]Matthew C. Lenert, Michael E. Matheny, Colin G. Walsh:
Prognostic models will be victims of their own success, unless... J. Am. Medical Informatics Assoc. 26(12): 1645-1650 (2019) - [j28]Matthew C. Lenert, Michael E. Matheny, Colin G. Walsh:
Explicit causal reasoning is preferred, but not necessary for pragmatic value. J. Am. Medical Informatics Assoc. 26(12): 1677-1678 (2019) - [c44]Jiantao Bian, Hamid Saoudian, Brett R. South, Kristine E. Lynch, Benjamin Viernes, Michael E. Matheny, Scott L. DuVall:
Developing Synthetic VA Healthcare Data in OMOP CDM Model. AMIA 2019 - [c43]Sharon E. Davis, Robert A. Greevy Jr., Thomas A. Lasko, Colin G. Walsh, Michael E. Matheny:
Comparison of Prediction Model Performance Updating Protocols: Using a Data-Driven Testing Procedure to Guide Updating. AMIA 2019 - [c42]Alvin D. Jeffery, Sharidan K. Parr, Michael E. Matheny:
Mapping Medications to Standards with Machine Learning and Noisy Labels. AMIA 2019 - [c41]Kimberley Kondratieff, Candace D. McNaughton, Michael E. Matheny, Thomas A. Lasko:
Longitudinal modeling of prescription refill records to predict medication use. AMIA 2019 - [c40]Kristin Lyman, Melanie Canterberry, Elizabeth Crull, Jason Denton, Fern FitzHenry, Qiaohong Hu, Sharidan K. Parr, Amy Perkins, Dina Zein, Michael E. Matheny, Jason N. Doctor, Daniella Meeker:
Value Set Development for Studies Involving Historical Data. AMIA 2019 - [c39]Scott L. DuVall, Michael E. Matheny, Ildar R. Ibragimov, Trey D. Oats, Jay N. Tucker, Brett R. South, Augie Turano, Hamid Saoudian, Casey Kangas, Keith D. Hofmann, Wendy Funk, Chris Nichols, Albert Bonnema, Louis Ferrucci, Jonathan R. Nebeker:
A Tale of Two Databases: The DoD and VA Infrastructure for Clinical Intelligence (DaVINCI). MedInfo 2019: 1660-1661 - 2018
- [j27]Anne Miller, Jejo D. Koola, Michael E. Matheny, Julie Ducom, Jason M. Slagle, Erik Groessl, Freneka F. Minter, Jennifer H. Garvin, Matthew B. Weinger, Samuel B. Ho:
Application of contextual design methods to inform targeted clinical decision support interventions in sub-specialty care environments. Int. J. Medical Informatics 117: 55-65 (2018) - [j26]Feng Chen, Xiaoqian Jiang, Shuang Wang, Lisa M. Schilling, Daniella Meeker, Toan Ong, Michael E. Matheny, Jason N. Doctor, Lucila Ohno-Machado, Jaideep Vaidya:
Perfectly Secure and Efficient Two-Party Electronic-Health-Record Linkage. IEEE Internet Comput. 22(2): 32-41 (2018) - [j25]Sharidan K. Parr, Matthew S. Shotwell, Alvin D. Jeffery, Thomas A. Lasko, Michael E. Matheny:
Automated mapping of laboratory tests to LOINC codes using noisy labels in a national electronic health record system database. J. Am. Medical Informatics Assoc. 25(10): 1292-1300 (2018) - [j24]Jejo D. Koola, Sharon E. Davis, Omar Al-Nimri, Sharidan K. Parr, Daniel Fabbri, Bradley A. Malin, Samuel B. Ho, Michael E. Matheny:
Development of an automated phenotyping algorithm for hepatorenal syndrome. J. Biomed. Informatics 80: 87-95 (2018) - [c38]Sharon E. Davis, Robert A. Greevy Jr., Michael E. Matheny:
Developing a Testing Procedure to Select Model Updating Methods. AMIA 2018 - [c37]Scott L. DuVall, Michael E. Matheny, Ildar R. Ibragimov, Trey D. Oats, Jay N. Tucker, Brett R. South, Augie Turano, Hamid Saoudian, Casey Kangas, Keith D. Hofmann, Wendy Funk, Chris Nichols, Albert Bonnema, Louis Ferrucci, Jonathan R. Nebeker:
The Department of Defense (DoD) and Department of Veterans Affairs (VA) Infrastructure for Clinical Intelligence (DaVINCI). AMIA 2018 - [c36]Sharidan K. Parr, Thomas A. Lasko, Alvin D. Jeffery, Matthew S. Shotwell, Michael E. Matheny:
Automated Mapping of Laboratory Tests to LOINC Codes using Noisy Labels in a National Electronic Health Record System Database. AMIA 2018 - [c35]Ruth M. Reeves, Brett R. South, Glenn T. Gobbel, Lee M. Christensen, Paul Thompson, Wendy W. Chapman, Michael E. Matheny, Jeremiah R. Brown:
Annotating Social Determinants of Health and Functional Status Information Using Publicly Accessible Corpora. AMIA 2018 - [c34]Brett R. South, Kristine W. Lynch, Michael E. Matheny, Julie A. Lynch, Olga Efimova, Catherine Chanfreau-Coffinier, Olga V. Patterson, Benjamin Viernes, Scott L. DuVall:
Flipping the Model for Biomedical Informatics Research. AMIA 2018 - [c33]Dax M. Westerman, Fern FitzHenry, Michael E. Matheny, Michele L. LeNoue-Newton, Claudio A. Mosse, Ian Maurer, Matthew Stachowiak, Justin A. Yeakley, James Cole, Regina M. Thomas, Mia A. Levy:
Integrating Cancer Genomic Data into Decision Support at the VA: Hematologic Oncology as a Use Case. AMIA 2018 - [i1]Jason N. Doctor, Jaideep Vaidya, Xiaoqian Jiang, Shuang Wang, Lisa M. Schilling, Toan Ong, Michael E. Matheny, Lucila Ohno-Machado, Daniella Meeker:
Efficient Determination of Equivalence for Encrypted Data. CoRR abs/1803.03760 (2018) - 2017
- [j23]Adam Culbertson, Satyender Goel, Margaret B. Madden, Niloufar Safaeinili, Kathryn L. Jackson, Thomas Carton, Russ Waitman, Mei Liu, Ashok Krishnamurthy, Lauren Hall, Nickie Cappella, Shyam Visweswaran, Michael J. Becich, Reuben J. Applegate, Elmer V. Bernstam, Russell Rothman, Michael E. Matheny, Gloria P. Lipori, Jiang Bian, William R. Hogan, Douglas S. Bell, Andrew Martin, Shaun J. Grannis, Jeffrey G. Klann, Rebecca Sutphen, Amy O'hara, Abel N. Kho:
The Building Blocks of Inter-operability. Appl. Clin. Inform. 08(02): 322-336 (2017) - [j22]Ruichu Cai, Mei Liu, Yong Hu, Brittany Melton, Michael E. Matheny, Hua Xu, Lian Duan, Lemuel R. Waitman:
Identification of adverse drug-drug interactions through causal association rule discovery from spontaneous adverse event reports. Artif. Intell. Medicine 76: 7-15 (2017) - [j21]Sharon E. Davis, Thomas A. Lasko, Guanhua Chen, Edward D. Siew, Michael E. Matheny:
Calibration drift in regression and machine learning models for acute kidney injury. J. Am. Medical Informatics Assoc. 24(6): 1052-1061 (2017) - [j20]Stéphane M. Meystre, Youngjun Kim, Glenn T. Gobbel, Michael E. Matheny, Andrew Redd, Bruce E. Bray, Jennifer H. Garvin:
Congestive heart failure information extraction framework for automated treatment performance measures assessment. J. Am. Medical Informatics Assoc. 24(e1): e40-e46 (2017) - [c32]Sharon E. Davis, Thomas A. Lasko, Guanhua Chen, Michael E. Matheny:
Calibration Drift Among Regression and Machine Learning Models for Hospital Mortality. AMIA 2017 - [c31]Jejo D. Koola, Aize Cao, Guanhua Chen, Amy Perkins, Samuel B. Ho, Sharon E. Davis, Michael E. Matheny:
Machine Learning Models to Predict Readmission for Patients with Cirrhosis. AMIA 2017 - [c30]Ruth M. Reeves, Nancy H. Gentry, Fern FitzHenry, Glenn T. Gobbel, Michael E. Matheny:
Natural Language Data Sampling: Principles & Strategies in Corpus Selection. AMIA 2017 - [c29]Ania Berchuck, Michael G. Kahn, Shelley A. Rusincovitch, Daniella Meeker, Shawn N. Murphy, Ravi Bhosale, Keith Marsolo, Michael E. Matheny, L. Russell Waitman, Rachel Hess:
Strategic Assessment and Planning for the PCORnet Common Data Model. CRI 2017 - [c28]Stéphane M. Meystre, Youngjun Kim, Glenn T. Gobbel, Michael E. Matheny, Andrew Redd, Bruce E. Bray, Jennifer H. Garvin:
Heart Failure Data for Patient Treatment Goals at the Point of Care: Automated Data Extraction and Consistent Reference Standard Importance. CRI 2017 - 2016
- [c27]Fern FitzHenry, Svetlana K. Eden, Jason N. Denton, Robert J. LoCasale, Hui Cao, Aize Cao, Ruth M. Reeves, Nancy L. Wells, Michael E. Matheny:
Informatics Challenges in Working with "Big Data" - A Use Case in Identifying Predictors of Constipation. AMIA 2016 - [c26]Samuel B. Ho, Julie Ducom, Anne Miller, Jennifer H. Garvin, Jejo D. Koola, Russ Beebe, Jason M. Slagle, Dax M. Westerman, Carrie Reale, Matthew B. Weinger, Erik Groessl, Michael E. Matheny:
Workflow-guided development of a clinical decision support tool for patients with advanced liver disease. AMIA 2016 - [c25]Jejo Koola, Samuel B. Ho, Michael E. Matheny:
An Electronic Health Record Phenotyping Algorithm for Identifying Patients with Hepatorenal Syndrome. AMIA 2016 - [c24]Stephen L. Luther, James A. McCart, Dezon Finch, Lina Bouayad, William Lapcevic, Michael E. Matheny:
Using Results of Statistical Text Mining in Big Data Analysis. AMIA 2016 - [c23]Michael E. Matheny, Dax M. Westerman, Laura Pearlman, Josh Gieringer, Xiaoqian Jiang, Claudiu Farcas, Tara K. Knight, Shuang Wang, Amy Perkins, Lucila Ohno-Machado, Bill Clarke, Daniella Meeker:
An Integrated Privacy Preserving Collaborative Analytics Platform: The PCORnet pSCANNER-PopMedNet TM Software Suite. AMIA 2016 - [c22]Lucila Ohno-Machado, George Hripcsak, Michael E. Matheny, Yuan Wu, Xiaoqian Jiang:
Calibration of Predictive Models for Clinical Decision Making: Personalizing Prevention, Treatment, and Disease Progression. AMIA 2016 - [c21]Ruth M. Reeves, Marcus Verhagen, Cynthia Brandt, Wendy W. Chapman, Michael E. Matheny, Steven H. Brown, Brian Marx, Theodore Speroff:
Event Coreference in Support of Temporal Reasoning in Mental Health Notes. AMIA 2016 - [c20]Jacob P. VanHouten, Christopher Fonnesbeck, Michael E. Matheny, Thomas A. Lasko:
The Discriminative Power of Non-Specific Laboratory Results. AMIA 2016 - [c19]Sharon E. Davis, Thomas A. Lasko, Guanhua Chen, Michael E. Matheny:
Calibration Drift of Clinical Prediction Models Across Modeling Methods. CRI 2016 - [c18]Jejo D. Koola, Sharon E. Davis, Samuel B. Ho, Michael E. Matheny:
Using a Multilayer Self-Organizing Map for Risk Prediction in Hepatorenal Syndrome. CRI 2016 - 2015
- [j19]Robert M. Cronin, Jacob P. VanHouten, Edward D. Siew, Svetlana K. Eden, Stephan D. Fihn, Christopher D. Nielson, Josh F. Peterson, Clifton R. Baker, T. Alp Ikizler, Theodore Speroff, Michael E. Matheny:
National Veterans Health Administration inpatient risk stratification models for hospital-acquired acute kidney injury. J. Am. Medical Informatics Assoc. 22(5): 1054-1071 (2015) - [j18]Daniella Meeker, Xiaoqian Jiang, Michael E. Matheny, Claudiu Farcas, Michel D'Arcy, Laura Pearlman, Lavanya Nookala, Michele E. Day, Katherine K. Kim, Hyeoneui Kim, Aziz A. Boxwala, Robert E. El-Kareh, Grace Kuo, Frederic S. Resnic, Carl Kesselman, Lucila Ohno-Machado:
A system to build distributed multivariate models and manage disparate data sharing policies: implementation in the scalable national network for effectiveness research. J. Am. Medical Informatics Assoc. 22(6): 1187-1195 (2015) - [c17]Fern FitzHenry, Jesse Brannen, Jason N. Denton, Jonathan R. Nebeker, Scott L. DuVall, Freneka F. Minter, Jeffrey Scehnet, Brian C. Sauer, Lucila Ohno-Machado, Michael E. Matheny:
Transforming the National Department of Veterans Affairs Data Warehouse to the OMOP Common Data Model. AMIA 2015 - [c16]Glenn T. Gobbel, Ruth M. Reeves, Brett R. South, Wendy W. Chapman, Jay Jarman, Steven Lay, Michael E. Matheny:
RapTAT: A Tool for Assisted Annotation and Reviewer Training via Online Machine Learning. AMIA 2015 - [c15]Jejo Koola, Samuel B. Ho, Michael E. Matheny:
A Novel Visualization for Rapid Summarization of Patient History: Application to Cirrhosis. AMIA 2015 - 2014
- [j17]Mei Liu, Ruichu Cai, Yong Hu, Michael E. Matheny, Jingchun Sun, Jun Hu, Hua Xu:
Determining molecular predictors of adverse drug reactions with causality analysis based on structure learning. J. Am. Medical Informatics Assoc. 21(2): 245-251 (2014) - [j16]Lucila Ohno-Machado, Zia Agha, Douglas S. Bell, Lisa Dahm, Michele E. Day, Jason N. Doctor, Davera Gabriel, Maninder K. Kahlon, Katherine K. Kim, Michael A. Hogarth, Michael E. Matheny, Daniella Meeker, Jonathan R. Nebeker:
Brief communication: pSCANNER: patient-centered Scalable National Network for Effectiveness Research. J. Am. Medical Informatics Assoc. 21(4): 621-626 (2014) - [j15]Glenn T. Gobbel, Jennifer H. Garvin, Ruth M. Reeves, Robert M. Cronin, Julia Heavirland, Jenifer Williams, Allison Weaver, Shrimalini Jayaramaraja, Dario A. Giuse, Theodore Speroff, Steven H. Brown, Hua Xu, Michael E. Matheny:
Research and applications: Assisted annotation of medical free text using RapTAT. J. Am. Medical Informatics Assoc. 21(5): 833-841 (2014) - [j14]Glenn T. Gobbel, Ruth M. Reeves, Shrimalini Jayaramaraja, Dario A. Giuse, Theodore Speroff, Steven H. Brown, Peter L. Elkin, Michael E. Matheny:
Development and evaluation of RapTAT: A machine learning system for concept mapping of phrases from medical narratives. J. Biomed. Informatics 48: 54-65 (2014) - [c14]Jejo Koola, Robert M. Cronin, Ruth M. Reeves, Jason N. Denton, Samuel B. Ho, Michael E. Matheny:
Development of a Cirrhosis-Associated Symptom/Finding Detection Tool. AMIA 2014 - 2013
- [j13]Ruth M. Reeves, Ferdo R. Ong, Michael E. Matheny, Joshua C. Denny, Dominik Aronsky, Glenn T. Gobbel, Diane Montella, Theodore Speroff, Steven H. Brown:
Detecting temporal expressions in medical narratives. Int. J. Medical Informatics 82(2): 118-127 (2013) - [j12]Mei Liu, Eugenia Renne McPeek Hinz, Michael Edwin Matheny, Joshua C. Denny, Jonathan Scott Schildcrout, Randolph A. Miller, Hua Xu:
Comparative analysis of pharmacovigilance methods in the detection of adverse drug reactions using electronic medical records. J. Am. Medical Informatics Assoc. 20(3): 420-426 (2013) - [c13]Glenn T. Gobbel, Ruth M. Reeves, Fern FitzHenry, Diane Montella, Robert M. Cronin, Shrimalini Jayaramaraja, Theodore Speroff, Steven H. Brown, Dario A. Giuse, Michael E. Matheny:
Use and Evaluation of RapTAT-Assisted Annotation for Extraction of Acute Kidney Injury Concepts from Clinical Free Text. AMIA 2013 - [c12]Ruth M. Reeves, Glenn T. Gobbel, Shrimalini Jayaramaraja, Fern FitzHenry, Robert M. Cronin, Theodore Speroff, Michael E. Matheny:
Methods for Detection of Kidney Disease Risk Factors in Clinical Reports. AMIA 2013 - 2012
- [j11]Michael E. Matheny, Fern FitzHenry, Theodore Speroff, Jennifer K. Green, Michelle L. Griffith, Eduard E. Vasilevskis, Elliot M. Fielstein, Peter L. Elkin, Steven H. Brown:
Detection of infectious symptoms from VA emergency department and primary care clinical documentation. Int. J. Medical Informatics 81(3): 143-156 (2012) - [j10]Lucila Ohno-Machado, Vineet Bafna, Aziz A. Boxwala, Brian E. Chapman, Wendy Webber Chapman, Kamalika Chaudhuri, Michele E. Day, Claudiu Farcas, Nathaniel D. Heintzman, Xiaoqian Jiang, Hyeoneui Kim, Jihoon Kim, Michael E. Matheny, Frederic S. Resnic, Staal Amund Vinterbo:
iDASH: integrating data for analysis, anonymization, and sharing. J. Am. Medical Informatics Assoc. 19(2): 196-201 (2012) - [j9]Mei Liu, Yonghui Wu, Yukun Chen, Jingchun Sun, Zhongming Zhao, Xue-wen Chen, Michael E. Matheny, Hua Xu:
Large-scale prediction of adverse drug reactions using chemical, biological, and phenotypic properties of drugs. J. Am. Medical Informatics Assoc. 19(e1) (2012) - [j8]Mei Liu, Michael E. Matheny, Yong Hu, Hua Xu:
Data mining methodologies for pharmacovigilance. SIGKDD Explor. 14(1): 35-42 (2012) - [c11]Fern FitzHenry, Frederic S. Resnic, Arijit Basu, Susan Robbins, Kenneth Nunes, Robert E. El-Kareh, Grace Kuo, Michael E. Matheny:
Data Harmonization Barriers for Post Marketing Surveillance of Medications. AMIA 2012 - [c10]Glenn T. Gobbel, Ruth M. Reeves, Shrimalini Jayaramaraja, Svetlana K. Eden, Fern FitzHenry, Theodore Speroff, Steven H. Brown, Stephen Luther, Maryan Zirkle, Dezon Finch, James A. McCart, Michael E. Matheny:
Evaluation of the RapTAT Automated Annotation System for Identifying Post-Traumatic Stress Disorder-Related Concepts in Clinical Notes. AMIA 2012 - [c9]Michael E. Matheny, Fern FitzHenry, Arijit Basu, Susan Robbins, Richard Cope, Mary Plomondon, Thomas Maddox, Thomas Tsai, John Rumsfeld, Frederic S. Resnic:
National Post-Marketing Surveillance of Embolic Protection Devices in the Veterans Administration CART Program. AMIA 2012 - [c8]Lalit Nookala, Michael E. Matheny, Frederic S. Resnic, Susan Robbins, Fern FitzHenry:
Developing the Veterans Health Administration ETL for the OMOP Common Data Model Version 3. AMIA 2012 - [c7]Ruth M. Reeves, Fern FitzHenry, Steven H. Brown, Kristen Kotter, Glenn T. Gobbel, Diane Montella, Harvey J. Murff, Theodore Speroff, Michael E. Matheny:
Who Said It? Establishing Professional Attribution among Authors of Veterans' Electronic Health Records. AMIA 2012 - [c6]Ruth M. Reeves, Zhao Zou, Glenn T. Gobbel, Shrimalini Jayaramaraja, Steven H. Brown, Michael E. Matheny, Theodore Speroff:
Developing an Integrated Temporal Reasoning System with TimeML and UMLS Concepts. AMIA 2012 - [c5]Mei Liu, Michael E. Matheny, Yonghui Wu, Eugenia R. McPeek Hinz, Joshua C. Denny, Jonathan S. Schildcrout, Randolph A. Miller, Hua Xu:
Detecting Adverse Drug Reactions Using Inpatient Medication Orders and Laboratory Tests Data. HISB 2012: 131 - 2011
- [j7]Michael E. Matheny, Sharon-Lise T. Normand, Thomas P. Gross, Danica Marinac-Dabic, Nilsa Loyo-Berrios, Venkatesan D. Vidi, Sharon Donnelly, Frederic S. Resnic:
Evaluation of an automated safety surveillance system using risk adjusted sequential probability ratio testing. BMC Medical Informatics Decis. Mak. 11: 75 (2011)
2000 – 2009
- 2009
- [j6]Helen G. Lo, Michael E. Matheny, Diane L. Seger, David W. Bates, Tejal K. Gandhi:
Research Paper: Impact of Non-interruptive Medication Laboratory Monitoring Alerts in Ambulatory Care. J. Am. Medical Informatics Assoc. 16(1): 66-71 (2009) - [j5]Bilal A. Ahmed, Michael E. Matheny, Phillip L. Rice, John R. Clarke, Omolola Ogunyemi:
A comparison of methods for assessing penetrating trauma on retrospective multi-center data. J. Biomed. Informatics 42(2): 308-316 (2009) - [c4]Michael E. Matheny, Fern FitzHenry, Theodore Speroff, Jacob Hathaway, Harvey J. Murff, Steven H. Brown, Elliot M. Fielstein, Robert S. Dittus, Peter L. Elkin:
Detection of Blood Culture Bacterial Contamination using Natural Language Processing. AMIA 2009 - 2008
- [j4]Michael E. Matheny, Thomas D. Sequist, Andrew C. Seger, Julie M. Fiskio, Michael Sperling, Donald Bugbee, David W. Bates, Tejal K. Gandhi:
Research Paper: A Randomized Trial of Electronic Clinical Reminders to Improve Medication Laboratory Monitoring. J. Am. Medical Informatics Assoc. 15(4): 424-429 (2008) - 2007
- [j3]Michael E. Matheny, Frederic S. Resnic, Nipun Arora, Lucila Ohno-Machado:
Effects of SVM parameter optimization on discrimination and calibration for post-procedural PCI mortality. J. Biomed. Informatics 40(6): 688-697 (2007) - [c3]Michael E. Matheny, Nipun Arora, Lucila Ohno-Machado, Frederic S. Resnic:
Rare Adverse Event Monitoring of Medical Devices with the Use of an Automated Surveillance Tool. AMIA 2007 - 2006
- [j2]Michael E. Matheny, Lucila Ohno-Machado, Frederic S. Resnic:
Research Paper: Monitoring Device Safety in Interventional Cardiology. J. Am. Medical Informatics Assoc. 13(2): 180-187 (2006) - 2005
- [j1]Michael E. Matheny, Lucila Ohno-Machado, Frederic S. Resnic:
Discrimination and calibration of mortality risk prediction models in interventional cardiology. J. Biomed. Informatics 38(5): 367-375 (2005) - [c2]Michael E. Matheny, Lucila Ohno-Machado, Frederic S. Resnic:
Exploration of a Bayesian Updating Tool to Provide Real-Time Safety Monitoring for New Medical Devices. AMIA 2005 - [c1]Michael E. Matheny, Omolola Ogunyemi, Phillip L. Rice, John R. Clarke:
Evaluating the Discriminatory Power of a Computer-based System for Assessing Penetrating Trauma on Retrospective Multi-Center Data. AMIA 2005
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-07 22:22 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
