Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Brent J. Mumphrey"'
Autor:
Brent J. Mumphrey, Linda Coyle, Georgia D. Tourassi, Shang Gao, Mohammed Alawad, Eric B. Durbin, Jong Cheol Jeong, David Rust, Lynne Penberthy, Xiao-Cheng Wu, Hong-Jun Yoon, Isaac Hands
Publikováno v:
IEEE Trans Emerg Top Comput
Population cancer registries can benefit from Deep Learning (DL) to automatically extract cancer characteristics from the high volume of unstructured pathology text reports they process annually. The success of DL to tackle this and other real-world
Autor:
Linda Coyle, Brent J. Mumphrey, Jennifer P. Stevens, Anne-Michelle Noone, Angela B. Mariotto, Rodney Schmidt, Rusty Shields, Joan L Warren, Xiao-Cheng Wu, Mei-Chin Hsieh
Publikováno v:
Med Care
Background Cancer recurrence is an important measure of the impact of cancer treatment. However, no population-based data on recurrence are available. Pathology reports could potentially identify cancer recurrences. Their utility to capture recurrenc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3e64f8eb9efcab086b5bc5ebfeee2b5a
https://europepmc.org/articles/PMC8720471/
https://europepmc.org/articles/PMC8720471/
Autor:
J. Blair Christian, Xiao-Cheng Wu, Hong-Jun Yoon, Lynne Penberthy, Georgia D. Tourassi, Shang Gao, Mohammed Alawad, Linda Coyle, John X. Qiu, Brent J. Mumphrey
Publikováno v:
Journal of the American Medical Informatics Association : JAMIA
Objective We implement 2 different multitask learning (MTL) techniques, hard parameter sharing and cross-stitch, to train a word-level convolutional neural network (CNN) specifically designed for automatic extraction of cancer data from unstructured
Autor:
Xiao-Cheng Wu, Ahmedin Jemal, Jennifer P. Stevens, Serban Negoita, Kevin C. Ward, K. Robin Yabroff, Brent J. Mumphrey, Linda Coyle, Jingxuan Zhao
Publikováno v:
J Natl Cancer Inst
The coronavirus disease 2019 (COVID-19) pandemic led to delayed medical care in the United States. We examined changes in patterns of cancer diagnosis and surgical treatment between January 1 and December 31 in 2020 and 2019 with real-time electronic
Autor:
Jennifer P. Stevens, Robin Robin Yabroff, Brent J. Mumphrey, Serban Negoita, Xiao-Cheng Wu, Kevin C. Ward, Ahmedin Jemal, Linda Coyle, Jingxuan Zhao
Publikováno v:
Journal of Clinical Oncology. 39:1514-1514
1514 Background: The COVID-19 pandemic led to delays in medical care in the United States. We examined changes in patterns of cancer diagnosis and surgical treatment in 2020 using real-time electronic pathology report data from population-based SEER
Autor:
Warren, Joan L., Noone, Anne-Michelle, Stevens, Jennifer, Wu, Xiao-Cheng, Hsieh, Mei-chin, Mumphrey, Brent J., Schmidt, Rodney, Coyle, Linda, Shields, Rusty, Mariotto, Angela B.
Publikováno v:
Medical Care; Jan2022, Vol. 60 Issue 1, p44-49, 6p
Autor:
Yabroff, K Robin, Wu, Xiao-Cheng, Negoita, Serban, Stevens, Jennifer, Coyle, Linda, Zhao, Jingxuan, Mumphrey, Brent J, Jemal, Ahmedin, Ward, Kevin C
Publikováno v:
JNCI: Journal of the National Cancer Institute; Jun2022, Vol. 114 Issue 6, p907-909, 3p