Applying machine learning techniques to predict the risk of distant metastasis from gastric cancer: a real world retrospective study
BackgroundDistant metastasis of gastric cancer can seriously affect the treatment strategy of gastric cancer patients, so it is essential to identify patients at high risk of distant metastasis of gastric cancer earlier.MethodIn this study, we retrospectively collected research data from 18,472 gast...
Saved in:
| Main Authors: | Xinxin Qin, Binxu Qiu, Litao Ge, Song Wu, Yuye Ma, Wei Li |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2024-12-01
|
| Series: | Frontiers in Oncology |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fonc.2024.1455914/full |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Explainable machine learning for predicting distant metastases in renal cell carcinoma patients: a population-based retrospective study
by: Zhao Hou, et al.
Published: (2025-07-01) -
Comprehensive evaluation of risk factors for LNM and distant metastasis in patients with NSCLC
by: Linghao Ni, et al.
Published: (2025-08-01) -
CT-based quantification of intratumoral heterogeneity for predicting distant metastasis in retroperitoneal sarcoma
by: Jun Xu, et al.
Published: (2025-05-01) -
A prognostic nomogram for distant metastasis in thyroid cancer patients without lymph node metastasis
by: Xiaoqing Yu, et al.
Published: (2025-02-01) -
Interleukin-6 as a Predictive Marker for Lymph Node and Distant Metastasis in Colorectal Cancer: A Retrospective Cohort Study
by: Xiao J, et al.
Published: (2025-08-01)