Abstract 4367840: Optimizing the Accuracy of Natural Language Processing Models for Pulmonary Embolism Detection Through Integration with Claims Data: The PE-EHR+ Study
Department
Internal Medicine
Document Type
Conference Proceeding
Publication Title
Circulation
Conference Name
American Heart Association (AHA) Scientific Sessions
Conference Date
2025-11-07 - 2025-11-10
First Page
A4367840
DOI
10.1161/circ.152.suppl_3.4367840
Volume
152
Issue
Suppl_3
Publication Date
11-4-2025
Recommended Citation
Rashedi, S., Bukhari, S., Krishnathasan, D., Khairani, C., Bejjani, A., Pfeferman, M., Zarghami, M., Secemsky, E., Rahaghi, F., Hussain, M., Mojibian, H., Goldhaber, S., Zhou, L., Yang, R., Wang, L., Krumholz, H., Piazza, G., & Bikdeli, B. (2025). Abstract 4367840: Optimizing the Accuracy of Natural Language Processing Models for Pulmonary Embolism Detection Through Integration with Claims Data: The PE-EHR+ Study. Circulation, 152 (Suppl_3), A4367840. https://doi.org/10.1161/circ.152.suppl_3.4367840
COinS