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Novel chaotic oppositional fruit fly optimization algorithm for feature selection applied on COVID 19 patients’ health prediction
| Naziv: | Novel chaotic oppositional fruit fly optimization algorithm for feature selection applied on COVID 19 patients’ health prediction | Autori  : | Nebojsa Bacanin   ; N. Budimirovic; Ivana Strumberger ; A. Adel Fahad Alrasheed; M. Abouhawwash |
Godina: | 2022 | Publikacija: | 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/ | Updated by: | Bačanin Džakula, Nebojša[Univerzitet Singidunum] |
M-category: | 22M22 - Rad u istaknutom međ. časopisu |
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