A two-step machine learning method for casualty prediction under emergencies
Casualty prediction is meaningful to the emergency management of natural hazards and human-induced disasters. In this study, a two-step machine learning method, including classification step and regression step, is proposed to predict the number of casualties under emergencies. In the classification...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
KeAi Communications Co., Ltd.
2022-09-01
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Series: | Journal of Safety Science and Resilience |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2666449622000160 |