Machine Learning in Chemical Safety and Health: A Comprehensive Guide

By Qingsheng Wang (Author), this book introduces machine learning techniques and tools, providing guidance on how to implement machine learning into chemical safety and health-related model development. It is the first to review the current status of machine learning implementation in chemical safety and health research and to provide guidance for implementing machine learning techniques and algorithms into chemical safety and health research.

Written by an international team of authors and edited by renowned experts in the areas of process safety and occupational and environmental health, this book covers a wide range of topics including:

• Fundamentals of machine learning, including regression, classification, and cross-validation, and an overview of software and tools.
• Detailed reviews of various applications in the areas of chemical safety and health, including flammability prediction, consequence prediction, asset integrity management, predictive nanotoxicity, and environmental exposure assessment.
• Perspective on the possible future development of this field.

Machine Learning in Chemical Safety and Health serves as an essential guide on both the fundamentals and applications of machine learning for industry professionals and researchers in the fields of process safety, chemical safety, occupational and environmental health, and industrial hygiene.

Publication Details:

Published by Wiley, October 19, 2022. Language: English. ISBN: 9781119817482, 9781119817499.