Machine Learning in Chemical Safety and Health: A Comprehensive Guide

Machine Learning in Chemical Safety and Health is a groundbreaking book that introduces machine learning techniques and tools to enhance chemical safety and health-related model development. This book is the first to provide a comprehensive review of the current status of machine learning implementation in chemical safety and health research and offers practical guidance on implementing machine learning techniques and algorithms into chemical safety and health research.

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
• Overview of software and tools used in machine learning
• Detailed reviews of various applications in the areas of chemical safety and health, such as:
• Flammability prediction
• Consequence prediction
• Asset integrity management
• Predictive nanotoxicity and environmental exposure assessment
• And more
• Future development of machine learning in chemical safety and health

Machine Learning in Chemical Safety and Health serves as an essential guide for 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:

Author: Qingsheng Wang

Publication Date: October 19, 2022

Language: English

ISBN: 9781119817482, 9781119817499