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ORCIDChristopher J. Tignanelli
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2020 – today
- 2023
[c6]Piper Ranallo
, Bronwyn Southwell, Christopher J. Tignanelli, Steven G. Johnson, Richard Krueger, Tess Sevareid-Groth, Adam Carvel, Genevieve B. Melton:
Promoting Learning Health System Cycles by Optimizing EHR Data Clinical Concept Encoding Processes. MedInfo 2023: 68-73- [c5]Greg M. Silverman, Geetanjali Rajamani, Nicholas E. Ingraham, James K. Glover, Himanshu S. Sahoo, Michael Usher, Rui Zhang, Farha Ikramuddin, Tanya E. Melnik, Genevieve B. Melton, Christopher J. Tignanelli:
A Symptom-Based Natural Language Processing Surveillance Pipeline for Post-COVID-19 Patients. MedInfo 2023: 860-864 - 2022
- [j2]Le Peng, Gaoxiang Luo, Andrew Walker, Zachary Zaiman, Emma K. Jones, Hemant Gupta, Kristopher Kersten, John L. Burns, Christopher A. Harle, Tanja Magoc, Benjamin Shickel, Scott D. Steenburg, Tyler J. Loftus, Genevieve B. Melton, Judy Wawira Gichoya, Ju Sun, Christopher J. Tignanelli:
Evaluation of federated learning variations for COVID-19 diagnosis using chest radiographs from 42 US and European hospitals. J. Am. Medical Informatics Assoc. 30(1): 54-63 (2022) - 2021
- [j1]Greg M. Silverman, Himanshu S. Sahoo, Nicholas Ingraham, Monica Lupei, Michael A. Puskarich, Michael Usher, James Dries, Raymond L. Finzel, Eric Murray, John Sartori, György J. Simon, Rui Zhang, Genevieve B. Melton, Christopher J. Tignanelli, Serguei V. S. Pakhomov:
NLP Methods for Extraction of Symptoms from Unstructured Data for Use in Prognostic COVID-19 Analytic Models. J. Artif. Intell. Res. 72: 429-474 (2021) - [c4]Steve Bernstein, Jerome A. Osheroff, Julia Skapik, Christopher J. Tignanelli, Matthew Burton:
Using Specific COVID-19 Targets and Patient Care Settings as a Springboard for Driving Global Improvements in the Learning Health System Cycle for COVID-19 and Beyond. AMIA 2021 - [c3]Jerome A. Osheroff, Brian S. Alper, Christopher J. Tignanelli, Julia L. Skapik:
Stakeholder-driven "Art of the Possible" Patient Journeys for COVID-19 and Beyond; Current and Future Steps to Fully Realize this Vision. AMIA 2021 - [i2]Ju Sun, Le Peng, Taihui Li, Dyah Adila, Zach Zaiman, Genevieve B. Melton, Nicholas Ingraham, Eric Murray, Daniel Boley, Sean Switzer, John L. Burns, Kun Huang, Tadashi Allen, Scott D. Steenburg, Judy Wawira Gichoya, Erich Kummerfeld, Christopher J. Tignanelli:
A Prospective Observational Study to Investigate Performance of a Chest X-ray Artificial Intelligence Diagnostic Support Tool Across 12 U.S. Hospitals. CoRR abs/2106.02118 (2021) - [i1]Greg M. Silverman, Raymond L. Finzel, Michael V. Heinz, Jake Vasilakes, Jacob C. Solinsky, Reed McEwan, Benjamin C. Knoll, Christopher J. Tignanelli, Hongfang Liu, Hua Xu, Xiaoqian Jiang, Genevieve B. Melton, Serguei V. S. Pakhomov:
An Empirical Study of UMLS Concept Extraction from Clinical Notes using Boolean Combination Ensembles. CoRR abs/2108.02255 (2021)
2010 – 2019
- 2019
- [c2]Michael R. Phillips, Christopher J. Tignanelli, Saif Khairat, Arlene E. Chung:
Clinical Decision Support Systems in Pediatric Surgery: a Scoping Review. AMIA 2019 - [c1]Greg M. Silverman, Elizabeth A. Lindemann, Geetanjali Rajamani, Raymond L. Finzel, Reed McEwan, Benjamin C. Knoll, Serguei Pakhomov, Genevieve B. Melton, Christopher J. Tignanelli:
Named Entity Recognition in Prehospital Trauma Care. MedInfo 2019: 1586-1587
Coauthor Index
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