Courtney J. Diamond, John Laurentiev, Jie Yang, Amy Wint, Kimberly A. Harris, Tin H. Dang, Amrita Mecker, Emily B. Carpenter, Anna N. A. Tosteson, Adam Wright, Jennifer S. Haas, Steven J. Atlas, Li Zhou. Natural Language Processing to Identify Abnormal Breast, Lung, and Cervical Cancer Screening Test Results from Unstructured Reports to Support Timely Follow-up. In Paula Otero, Philip Scott, Susan Z. Martin, Elaine Huesing, editors, MEDINFO 2021: One World, One Health - Global Partnership for Digital Innovation - Proceedings of the 18th World Congress on Medical and Health Informatics, Virtual Event, 2-4 October 2021. Volume 290 of Studies in Health Technology and Informatics, pages 433-437, IOS Press, 2021. [doi]
@inproceedings{DiamondLYWHDMCT21,
title = {Natural Language Processing to Identify Abnormal Breast, Lung, and Cervical Cancer Screening Test Results from Unstructured Reports to Support Timely Follow-up},
author = {Courtney J. Diamond and John Laurentiev and Jie Yang and Amy Wint and Kimberly A. Harris and Tin H. Dang and Amrita Mecker and Emily B. Carpenter and Anna N. A. Tosteson and Adam Wright and Jennifer S. Haas and Steven J. Atlas and Li Zhou},
year = {2021},
doi = {10.3233/SHTI220112},
url = {https://doi.org/10.3233/SHTI220112},
researchr = {https://researchr.org/publication/DiamondLYWHDMCT21},
cites = {0},
citedby = {0},
pages = {433-437},
booktitle = {MEDINFO 2021: One World, One Health - Global Partnership for Digital Innovation - Proceedings of the 18th World Congress on Medical and Health Informatics, Virtual Event, 2-4 October 2021},
editor = {Paula Otero and Philip Scott and Susan Z. Martin and Elaine Huesing},
volume = {290},
series = {Studies in Health Technology and Informatics},
publisher = {IOS Press},
isbn = {978-1-64368-265-5},
}