Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

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

Bibliographic Data

ID22026164
AuthorsRenato 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, corresponding author)
Year2023
Volume98
Pages104109
Publication date2023-11-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueInternational Journal of Disaster Risk Reduction (JOURNAL)
Journal identifiersISSN: 2212-4209
PublisherElsevier BV (PUBLISHER)
DOI10.1016/j.ijdrr.2023.104109
OpenAlexW4388453831
LanguageEN
Citations received2
References cited39

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

  • Combining machine learning (ML) and participatory rural appraisal (PRA) for disaster risk preparedness (DRP)

    Open Access•Emmanuel A Onsay, Jomar F Rabajante•International Journal of Disaster…•2024

  • Identifying final demand points for aid in the aftermath of sudden-onset climate-related disasters in Peru

    Open Access•Renato Quiliche, Paula Medina Maçaira et al.•International Journal of Disaster…•2025

  • Regularization and Variable Selection Via the Elastic Net

    Open Access•Hui Zou, Trevor Hastie•Journal of the Royal Statistical…•2005

  • The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation

    Open Access•Davide Chicco, Giuseppe Jurman•BMC Genomics•2020

  • Evaluating the application of K-mean clustering in Earthquake vulnerability mapping of Istanbul, Turkey

    Open Access•Mahyat Shafapourtehrany, Peyman Yariyan et al.•International Journal of Disaster…•2022

  • Quantitative Risk Assessment of Coastal Erosion in the Caribbean Region

    Deborah Villarroel-Lamb•Natural Hazards Review•2020

  • Quantifying the Role of Vulnerability in Hurricane Damage via a Machine Learning Case Study

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

  • Using Social Media for Economic Disaster Evaluation

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

  • Disaster Risk Management in the Republic of Korea

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

  • The Sendai Framework for Disaster Risk Reduction

    Open Access•Amina Aitsi-Selmi, Shinichi Egawa et al.•International Journal of Disaster…•2015

  • Stop going around in circles

    Open Access•Lee Bosher, Ksenia Chmutina et al.•Disaster Prevention and…•2021

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

    Open Access•Anjum Tasnuva, Md Riad Hossain et al.•Environment Development and…•2021

Unique citing works2
Citations per year1
Citation span2024 - 2025 (2)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 1
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae