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A predictive assessment of households' risk against disasters caused by cold waves using machine learning

Dados Bibliográficos

ID22026164
AutoresRenato Quiliche (0000-0001-7937-5929, Pontifícia Universidade Católica do Rio de Janeiro), Bruna Santiago (0000-0003-2091-1912, Pontifícia Universidade Católica do Rio de Janeiro), Fernanda Araujo Baião (0000-0001-7932-7134, Pontifícia Universidade Católica do Rio de Janeiro), Adriana Leiras (0000-0002-6305-9662, Pontifícia Universidade Católica do Rio de Janeiro, autor correspondente)
Ano2023
Volume98
Páginas104109
Data de publicação2023-11-01
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoInternational Journal of Disaster Risk Reduction (JOURNAL)
Identificadores do periódicoISSN: 2212-4209
EditoraElsevier BV (PUBLISHER)
DOI10.1016/j.ijdrr.2023.104109
OpenAlexW4388453831
IdiomaEN
Citações recebidas2
Referências citadas39

Categorization · Environmental health · Logistic regression · Machine learning · Naive Bayes classifier · Poison control · Random forest · Support vector machine · Computer Science · Disaster Management and Resilience · Flood Risk Assessment and Management · Infrastructure Resilience and Vulnerability Analysis · Artificial Intelligence

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    Open Access•Laura Szczyrba, Yang Zhang et al.•Natural Hazards Review•2021

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    Daniel Eckhardt, Adriana Leiras et al.•Natural Hazards Review•2022

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    Open Access•Yong-kyun Kim, Hong-Gyoo Sohn et al.•Disaster Risk Management in the…•2018

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  • Employing social vulnerability index to assess household social vulnerability of natural hazards

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Obras citantes distintas2
Citações por ano1
Intervalo de citações2024 - 2025 (2)
Velocidade de citaçãorecent
Altamente citadoNão
Tipos de citaçãoNeutras: 1
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