Compare the prognosis of pancreatic cancer patients with different treatment modalities and use machine learning methods to build predictive models

PC patients may benefit from more intensive multimodal therapies, which provides novel insights into predicting PC survival prognosis and highlights the potential of machine learning in biomarker identification and disease prognosis.

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Publication Details

Journal
Frontiers in Medicine
Published
2025-11-26
DOI
https://doi.org/10.3389/fmed.2025.1629324
Primary Topic
Pancreatic and Hepatic Oncology Research
Type
article
Field-Weighted Citation Impact
0.00

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article

Compare the prognosis of pancreatic cancer patients with different treatment modalities and use machine learning methods to build predictive models

Weimin Wang, Yunfan Wang, Xu Guang Yan, Tao Li et al.
Frontiers in Medicine
Pancreatic and Hepatic Oncology Research
article

Compare the prognosis of pancreatic cancer patients with different treatment modalities and use machine learning methods to build predictive models

Weimin Wang, Yunfan Wang, Xu Guang Yan, Tao Li, Lingling Fan, Yizhou Deng, Chao Jiang, Shujing Kong
article en

Abstract

PC patients may benefit from more intensive multimodal therapies, which provides novel insights into predicting PC survival prognosis and highlights the potential of machine learning in biomarker identification and disease prognosis.

Frontiers in MedicineVol. 12
Jiangsu University (CN), State Administration of Traditional Chinese Medicine of the People's Republic of China (CN), Yixing People's Hospital (CN), Yangzhou University (CN)
Yangzhou University
Openalex Percentile: Top 49%
Pancreatic and Hepatic Oncology Research
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