Identification of patients at risk for pancreatic cancer in a 3-year timeframe based on machine learning algorithms

Zhu, W., Chen, L., Aphinyanaphongs, Y., Kastrinos, F., Simeone, D. M., Pochapin, M., Stender, C., Razavian, N., & Gonda, T. A. (2025). Identification of patients at risk for pancreatic cancer in a 3-year timeframe based on machine learning algorithms. Scientific Reports, 15(1). https://doi.org/10.1038/s41598-025-89607-8
Authors:
Weicheng Zhu
Long Chen
Yindalon Aphinyanaphongs
Fay Kastrinos
Diane M Simeone
Mark Pochapin
Cody Stender
Narges Razavian
Tamas A Gonda
Affiliated Authors:
Fay Kastrinos
Columbia Affiliation:
Subjects:
Pancreatic Cancer Research and Treatment (OpenAlex Topic)
Global Trends in Colorectal Cancer Research (OpenAlex Topic)
Genomic Landscape of Cancer and Mutational Signatures (OpenAlex Topic)
Pancreatic Neoplasms (MeSH)
Machine Learning (MeSH)
Early Detection of Cancer (MeSH)
Author Keywords:
pancreas
pancreatic cancer
machine learning
risk factor
predictive model
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Publication Type:
Article
Unique ID:
10.1038/s41598-025-89607-8
PMID:
40188106
DOI:
10.1038/s41598-025-89607-8
Journal:
Scientific Reports
Publication Date:
Data Source:
PubMed
Source Link:
View PubMed Record
View OpenAlex Record
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Record Created: