Christopher J. Tignanelli

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 10

Top Topics

Healthy Controls

Natural Language

Text Summarization

Named Entity Recognition

Top Venues

J. Am. Medical Informatics Assoc.

Publications

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)
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)
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) (2022)
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)
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 (2021)
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 (2021)
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 (2021)
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)
Michael R. Phillips, Christopher J. Tignanelli, Saif Khairat, Arlene E. Chung
Clinical Decision Support Systems in Pediatric Surgery: a Scoping Review. AMIA (2019)
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)