Prediction of Postoperative Survival in Young Colorectal Cancer Patients: A Cohort Study Based on the SEER Database
Objective. Our aim is to make accurate and robust predictions of the risk of postoperative death in young colorectal cancer patients (18-44 years old) by combining tumor characteristics with medical and demographic information about the patient. Materials and Methods. We used the SEER database to re...
Saved in:
Main Authors: | Sheng Pan, Wenchao Mei, Linfei Huang, Yan’e Tao, Jing Xu, Yuelu Ruan |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2022-01-01
|
Series: | Journal of Immunology Research |
Online Access: | http://dx.doi.org/10.1155/2022/2736676 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Survival and prognostic factors among different types of liposarcomas based on SEER database
by: Jiaqi Zhao, et al.
Published: (2025-01-01) -
A novel perspective on survival prediction for AML patients: Integration of machine learning in SEER database applications
by: Zheng-yi Jia, et al.
Published: (2025-01-01) -
Trends in survival of patients with stage I/II Burkitt lymphoma in the United States: A SEER database analysis
by: Ze‐Long Liu, et al.
Published: (2019-03-01) -
Survival and prognostic factors for primary lung extranodal NK/T-cell lymphoma: a retrospective study of data from China and the SEER database
by: Qiuyu Li, et al.
Published: (2025-01-01) -
Nomogram prediction of overall survival in breast cancer patients post-surgery: integrating SEER database and multi-center evidence from China
by: Yufen Zheng, et al.
Published: (2025-01-01)