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Toxic hearts: Machine learning uncovers the cardiovascular toll of heavy metals in the Philippine landscape.有毒心脏:机器学习揭示菲律宾环境中重金属对心血管系统造成的损害。
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本文引用的文献

1
Associations between urinary and blood heavy metal exposure and heart failure in elderly adults: Insights from an interpretable machine learning model based on NHANES (2003-2020).老年人尿与血中重金属暴露与心力衰竭之间的关联:基于美国国家健康与营养检查调查(2003 - 2020)的可解释机器学习模型的见解
Int J Cardiol Cardiovasc Risk Prev. 2025 May 4;25:200418. doi: 10.1016/j.ijcrp.2025.200418. eCollection 2025 Jun.
2
Ecological and health risks from heavy metal sources surrounding an abandoned mercury mine in the island paradise of Palawan, Philippines.菲律宾巴拉望岛这个人间天堂中一座废弃汞矿周边重金属源带来的生态与健康风险。
Heliyon. 2023 Apr 28;9(5):e15713. doi: 10.1016/j.heliyon.2023.e15713. eCollection 2023 May.
3
Impact of environmental factors on heart failure decompensations.环境因素对心力衰竭失代偿的影响。
ESC Heart Fail. 2019 Dec;6(6):1226-1232. doi: 10.1002/ehf2.12506. Epub 2019 Sep 4.

Toxic hearts: Machine learning uncovers the cardiovascular toll of heavy metals in the Philippine landscape.

作者信息

Lacsa Jose Eric M

机构信息

De La Salle University, Taft, Malate, Philippines.

出版信息

Int J Cardiol Cardiovasc Risk Prev. 2025 May 16;26:200435. doi: 10.1016/j.ijcrp.2025.200435. eCollection 2025 Sep.

DOI:10.1016/j.ijcrp.2025.200435
PMID:40495902
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12149562/
Abstract
摘要