Leveraging natural language processing for efficient information extraction from breast cancer pathology reports: Single-institution study.
<h4>Background</h4>Pathology reports provide important information for accurate diagnosis of cancer and optimal treatment decision making. In particular, breast cancer has known to be the most common cancer in women worldwide.<h4>Objective</h4>For the data extraction of breas...
Saved in:
| Main Authors: | Phillip Park, Yeonho Choi, Nayoung Han, Ye-Lin Park, Juyeon Hwang, Heejung Chae, Chong Woo Yoo, Kui Son Choi, Hyun-Jin Kim |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2025-01-01
|
| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0318726 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Effects of culture temperature (37°C, 39°C) and oxygen concentration (20%, 2%) on proliferation and differentiation of C2C12 cells
by: Gyutae Park, et al.
Published: (2025-01-01) -
Adipocyte-derived factors induce adherent to suspension transition in breast and pancreatic cancer cells through lipid metabolic alteration
by: Doru Kwon, et al.
Published: (2025-08-01) -
Change in lifestyle and mental health in young adults: an exploratory study with hybrid machine learning
by: Nayoung Park, et al.
Published: (2025-06-01) -
An Institutional Theory Framework for Leveraging Large Language Models for Policy Analysis and Intervention Design
by: J. de Curtò, et al.
Published: (2025-02-01) -
Impact of fragmented care on cancer outcomes among korean women with breast and cervical cancer: a focus on regional and economic disparities
by: Sun Jung Kim, et al.
Published: (2025-07-01)