Development and validation of survival prediction tools in early and late onset colorectal cancer patients
Abstract This study aims to develop online calculators using machine learning models to predict survival probabilities for early- and late-onset colorectal cancer (EOCRC and LOCRC) over a 1- to 8-year period. We extracted data on 117,965 CRC patients from the published database spanning 2010 to 2021...
Saved in:
| Main Authors: | Wanling Li, Jinshan Liu, Yuntong Lan, Dongling Yu, Bingqiang Zhang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-04-01
|
| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-95385-0 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Incidence, characteristics, and survival in early- and late-onset colorectal cancer
by: Tanja Hukkinen, et al.
Published: (2025-07-01) -
Implication of late diagnosis for survival of patients with colorectal carcinoma
by: Zdravković Darko, et al.
Published: (2009-01-01) -
Prognostic Differences Between Early-Onset and Late-Onset Colorectal Cancer
by: Vlad Alexandru Ionescu, et al.
Published: (2025-02-01) -
Establishment and Validation of a Prognostic Nomogram for Predicting Postoperative Overall Survival in Advanced Stage III–IV Colorectal Cancer Patients
by: Pengwei Lou, et al.
Published: (2024-11-01) -
Age as a Predictor of Overall Survival in Colorectal Cancer
by: Berenice Carbajal-López, et al.
Published: (2024-11-01)