Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Analysis of medical rescue strategies based on a rough set and genetic algorithm

A disaster classification perspective

Bibliographic Data

ID22029513
AuthorsTanshi Li (0000-0001-6528-9595, Chinese PLA General Hospital), Zhuyi Li (0000-0002-6877-3304, National University of Singapore), Wei Zhao (0000-0003-3892-2361, Chinese PLA General Hospital), Xueyan Li (0009-0002-2230-6468, Beijing Union University), Xin Zhu (0009-0007-6876-2203, Beijing Union University), Shuxiao Pan (Beijing Jiaotong University), Cong Feng (0000-0003-2928-5399, Chinese PLA General Hospital), Yuzhuo Zhao (0009-0008-2697-386X, Chinese PLA General Hospital), Lijing Jia (0000-0001-6329-0269, Chinese PLA General Hospital), Jing Li (0000-0001-7792-4322, Beijing Jiaotong University, corresponding author)
Year2020
Volume42
Pages101325
Publication date2020-01-01
Open AccessYes
TypeARTICLE
VenueInternational Journal of Disaster Risk Reduction (JOURNAL)
Journal identifiersISSN: 2212-4209
PublisherElsevier BV (PUBLISHER)
DOI10.1016/j.ijdrr.2019.101325
OpenAlexW2972226736
LanguageEN
Citations received1
References cited20

Data mining · Disaster medicine · Emergency management · Emergency rescue · Genetic algorithm · Machine learning · Medical emergency · Poison control · Political science · Rough set · Search and rescue · Computer Science · Facility Location and Emergency Management · Human Factors and Ergonomics · Medicine · Artificial Intelligence

  • Optimizing locations of emergency medical stations for rural areas

    Open Access•Hamed Ahmadi, Mohammadreza Jelokhani-Niaraki et al.•International Journal of Disaster…•2024

  • Rough sets

    Open Access•Zdzis?aw Pawlak, Zdzis aw Pawlak•International Journal of Computer…•1982

Citations per year0.5
Citation span2024 - 2024 (1)
Highly citedNo

Tools

Open DOISci-Hub
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