Nicholas Ingraham

According to our database, Nicholas Ingraham authored at least 4 papers between 2021 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

2022

Towards Fairness and Interpretability: Clinical Decision Support for Acute Coronary Syndrome.

Himanshu S. Sahoo, Nicholas Ingraham, Greg M. Silverman, John Sartori

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 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

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