Application of machine learning models to explore prognosis and cause of death in advanced intrahepatic cholangiocarcinoma patients undergoing chemotherapy
Abstract Background This study was aimed at examining the causes of death (CODs) in patients with advanced intrahepatic cholangiocarcinoma (ICC) undergoing chemotherapy (CT). In addition, machine learning models were incorporated to predict the treatment outcomes of patients with advanced ICC and id...
Saved in:
| Main Authors: | Qin Zeng, Xin Wang, Jun Liu, Yiqing Jiang, Guili Cao, Ke Su, Xiaoqin Liu |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-04-01
|
| Series: | Discover Oncology |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s12672-025-02274-z |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Pathological complete response following neoadjuvant chemotherapy for locally advanced intrahepatic cholangiocarcinoma
by: Yoshitaka Shimamaki, et al.
Published: (2024-02-01) -
The optimal number of examined lymph nodes for cancer specific death of intrahepatic cholangiocarcinoma: a population-based study
by: Chaojia Ou, et al.
Published: (2025-04-01) -
Yttrium90-TARE with or without chemotherapy may improve survival in patients with locally advanced unresectable intrahepatic cholangiocarcinoma
by: Esteban Garita, et al.
Published: (2025-07-01) -
Hepatic arterial infusion chemotherapy with Folfox 4 regimen versus cisplatin and gemcitabine for locally advanced intrahepatic cholangiocarcinoma
by: Lin Liu, et al.
Published: (2025-07-01) -
Who benefits from adjuvant chemotherapy? Identification of early recurrence in intrahepatic cholangiocarcinoma patients after curative-intent resection using machine learning algorithms
by: Qi Li, et al.
Published: (2025-06-01)