Christopher J. Tignanelli

According to our database, Christopher J. Tignanelli authored at least 10 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

A Symptom-Based Natural Language Processing Surveillance Pipeline for Post-COVID-19 Patients.

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

Proceedings of the MEDINFO 2023 - The Future Is Accessible, 2023

Promoting Learning Health System Cycles by Optimizing EHR Data Clinical Concept Encoding Processes.

Piper Ranallo, Bronwyn Southwell, Christopher J. Tignanelli, Steven G. Johnson, Richard Krueger, Tess Sevareid-Groth, Adam Carvel, Genevieve B. Melton

Proceedings of the MEDINFO 2023 - The Future Is Accessible, 2023

2022

Evaluation of federated learning variations for COVID-19 diagnosis using chest radiographs from 42 US and European hospitals.

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

J. Am. Medical Informatics Assoc., 2022

2021

NLP Methods for Extraction of Symptoms from Unstructured Data for Use in Prognostic COVID-19 Analytic Models.

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

J. Artif. Intell. Res., 2021

An Empirical Study of UMLS Concept Extraction from Clinical Notes using Boolean Combination Ensembles.

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

CoRR, 2021

A Prospective Observational Study to Investigate Performance of a Chest X-ray Artificial Intelligence Diagnostic Support Tool Across 12 U.S. Hospitals.

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

CoRR, 2021

Stakeholder-driven "Art of the Possible" Patient Journeys for COVID-19 and Beyond; Current and Future Steps to Fully Realize this Vision.

Jerome A. Osheroff, Brian S. Alper, Christopher J. Tignanelli, Julia L. Skapik

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

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.

Steve Bernstein, Jerome A. Osheroff, Julia Skapik, Christopher J. Tignanelli, Matthew Burton

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

2019

Named Entity Recognition in Prehospital Trauma Care.

Greg M. Silverman, Elizabeth A. Lindemann, Geetanjali Rajamani, Raymond L. Finzel, Reed McEwan, Benjamin C. Knoll, Serguei Pakhomov, Genevieve B. Melton, Christopher J. Tignanelli

Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019

Clinical Decision Support Systems in Pediatric Surgery: a Scoping Review.

Michael R. Phillips, Christopher J. Tignanelli, Saif Khairat, Arlene E. Chung

Proceedings of the AMIA 2019, 2019