Novel models based on machine learning to predict the prognosis of metaplastic breast cancer
Background: Metaplastic breast cancer (MBC) is a rare and highly aggressive histological subtype of breast cancer. There remains a significant lack of precise predictive models available for use in clinical practice. Methods: This study utilized patient data from the SEER database (2010–2018) for da...
Saved in:
Main Authors: | Yinghui Zhang, Wenxin An, Cong Wang, Xiaolei Liu, Qihong Zhang, Yue Zhang, Shaoqiang Cheng |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2025-02-01
|
Series: | Breast |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S0960977624001899 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Fibromatosis-like metaplastic carcinoma of the breast: Case report
by: Haitao Wu, et al.
Published: (2025-02-01) -
Metaplastic Carcinoma Breast in Polycythemic Octogenarian – Lessons Learnt: Case Report
by: Swarup Prabhu, et al.
Published: (2024-09-01) -
Intrusion detection in metaverse environment internet of things systems by metaheuristics tuned two level framework
by: Milos Antonijevic, et al.
Published: (2025-01-01) -
Identification and susceptibility assessment of landslide disasters in the red bed formation along the Nanjian-Jingdong Expressway
by: Yifan Cao, et al.
Published: (2025-01-01) -
An intelligent lithology identification method for sandstone and mudstone strata and its applications: A case study of the Jurassic strata in the Lunnan area, Xinjiang, China
by: Ming CAI, et al.
Published: (2025-01-01)