Combination of Naples prognostic score and pathological factors for evaluating the long-term prognosis of patients with late-onset colorectal cancer: a multicenter machine learning study
Tawfik Ali Hamood Alburiahi, Yan-Hong Yang, Weiqing Liu, Xin Li, Wanrong Lin, Lei Liang, Jun Yang · 2025
Read Combination of Naples prognostic score and pathological factors for evaluating the long-term prognosis of patients with late-onset colorectal cancer: a multicenter machine learning study by Tawfik Ali Hamood Alburiahi, Yan-Hong Yang, Weiqing Liu, Xin Li, Wanrong Lin, Lei Liang, Jun Yang (2025) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-12776133.txt.
Description
Tawfik Alburiahi and co-authors blend a nutrition and inflammation score with tumor traits to forecast survival in older bowel cancer patients, in a 2025 study. Patients first diagnosed late in life form a growing group. Standard statistics may miss the patterns that shape their outlook after surgery.
Records covered more than fifteen hundred patients aged fifty and over. The score in view rates blood fats, a protein, and two immune cell counts. The team split the data into training and check sets, with a further outside set. Survival models and machine learning methods were compared on the same facts. The aim is a sharper tool for planning care after surgery.
Catalog record
| CREATOR | Tawfik Ali Hamood Alburiahi, Yan-Hong Yang, Weiqing Liu, Xin Li, Wanrong Lin, Lei Liang, Jun Yang |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 40 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |