Results

eNauka >  Results >  Novel chaotic oppositional fruit fly optimization algorithm for feature selection applied on COVID 19 patients’ health prediction
Title: Novel chaotic oppositional fruit fly optimization algorithm for feature selection applied on COVID 19 patients’ health prediction
Authors : Nebojsa Bacanin  ; N. Budimirovic; Ivana Strumberger ; A. Adel Fahad Alrasheed; M. Abouhawwash
Issue Date: 2022
Publication: PLOS ONE
ISSN: 1932-6203 PLoS One / Public Library of Science Search Idenfier
Type: Article
Collation: vol. 17 br. 10 str. e0275727-e0275727
DOI: 10.1371/journal.pone.0275727
WoS-ID: 000924647500036
Scopus-ID: 2-s2.0-85139572976
PMID: 36215218
PMCID: PMC9550095
URI: http://ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai/record/2/9464
https://enauka.gov.rs/handle/123456789/762285
URL: https://pubmed.ncbi.nlm.nih.gov/36215218/
M-category: 
21M21

14
SCOPUSTM
1
PubMed CentralTM
12
WEB OF SCIENCETM
Altmetric
Dimensions
Unpaywall

Items in eNauka are protected by copyright, with all rights reserved, unless otherwise indicated.