Early prediction of liver metastasis in pancreatic cancer using routine clinical data: an externally validated machine learning model
Yeo Gyeong Ko, See Young Lee, Won Kyu Lee, Ji Hoon Park, Sang Hoon Lee, Kyung In Shin, Jiyoung Keum, Jee Hoon Kim, Jung Hyun Jo, Sung Ill Jang, Jae Hee Cho, Galam Leem, Moon Jae Chung, Jeong Youp Park, Seungmin Bang, Seung Woo Park, Seung Up Kim, Hee Seung Lee · 2025
Read Early prediction of liver metastasis in pancreatic cancer using routine clinical data: an externally validated machine learning model by Yeo Gyeong Ko, See Young Lee, Won Kyu Lee, Ji Hoon Park, Sang Hoon Lee, Kyung In Shin, Jiyoung Keum, Jee Hoon Kim, Jung Hyun Jo, Sung Ill Jang, Jae Hee Cho, Galam Leem, Moon Jae Chung, Jeong Youp Park, Seungmin Bang, Seung Woo Park, Seung Up Kim, Hee Seung Lee (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-12797759.txt.
Description
BackgroundLiver metastasis at the time of pancreatic cancer diagnosis plays a critical role in treatment planning owing to its strong association with poor prognosis. However, they often remain undetected because of the limited sensitivity of conventional imaging and biomarkers. Previous studies have primarily focused on postoperative liver metastasis or relied on complex nonroutine variables (e.g.
Catalog record
| CREATOR | Yeo Gyeong Ko, See Young Lee, Won Kyu Lee, Ji Hoon Park, Sang Hoon Lee, Kyung In Shin, Jiyoung Keum, Jee Hoon Kim, Jung Hyun Jo, Sung Ill Jang, Jae Hee Cho, Galam Leem, Moon Jae Chung, Jeong Youp Park, Seungmin Bang, Seung Woo Park, Seung Up Kim, Hee Seung Lee |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 33 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |