Blood metal levels predict digestive tract cancer risk using machine learning in a U.S. cohort

Blood metal levels predict digestive tract cancer risk using machine learning in a U.S. cohort

Abstract Background: Environmental metal exposure has been implicated in the development of digestive tract cancers, although the specific associations remain poorly defined. This study aimed to investigate the relationship between blood metal levels and the risk of digestive tract cancers among U.S...

Full description

Saved in:
Bibliographic Details
Main Authors: Chenyuan Shi, Hanfeng Jiang, Fangzhou Zhao, Yigang Zhang, Haoming Chen
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
Subjects:
Esophagus cancer
Gastric cancer
Colorectal Cancer
Blood metal
Machine learning
Random Forest
Online Access:https://doi.org/10.1038/s41598-025-85659-y
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items