Advanced Low-Cost Technology for Assessing Metal Accumulation in the Body of a Metropolitan Resident Based on a Neural Network Model

Advanced Low-Cost Technology for Assessing Metal Accumulation in the Body of a Metropolitan Resident Based on a Neural Network Model

This study is devoted to creating a neural network technology for assessing metal accumulation in the body of a metropolis resident with short-term and long-term intake from anthropogenic sources. Direct assessment of metal retention in the human body is virtually impossible due to the many internal...

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Bibliographic Details
Main Authors: Yulia Tunakova, Svetlana Novikova, Vsevolod Valiev, Maxim Danilaev, Rashat Faizullin
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Sensors
Subjects:
metropolis
metals
entry into the body
retention of metals
health monitoring
long-term effects of metals on the body
Online Access:https://www.mdpi.com/1424-8220/24/22/7157
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