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10.1155/2020/1560250 http://scihub22266oqcxt.onion/10.1155/2020/1560250 32802146!7411452!32802146     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=32802146&cmd=llinks): Failed to open stream: HTTP request failed! 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Capacity Evaluation of Diagnostic Tests For COVID-19 Using Multicriteria Decision-Making Techniques |pdf=|usr=}}{{32802146}} gab.com Text Capacity Evaluation of Diagnostic Tests For COVID-19 Using Multicriteria Decision-Making Techniques JO: Comput Math Methods Med http://www.kidney.de/pget.php?&tw=1&pmid=32802146 #FOAvip In December 2019, cases of pneumonia were detected in Wuhan, China, which were caused by the highly contagious coronavirus. This study is aimed at comparing the confusion regarding the selection of effective diagnostic methods to make a mutual comparison among existing SARS-CoV-2 diagnostic tests and at determining the most effective one. Based on available published evidence and clinical practice, diagnostic tests of coronavirus disease (COVID-19) were evaluated by multi-criteria decision-making (MCDM) methods, namely, fuzzy preference ranking organization method for enrichment evaluation (fuzzy PROMETHEE) and fuzzy technique for order of preference by similarity to ideal solution (fuzzy TOPSIS). Computerized tomography of chest (chest CT), the detection of viral nucleic acid by polymerase chain reaction, cell culture, CoV-19 antigen detection, CoV-19 antibody IgM, CoV-19 antibody IgG, and chest X-ray were evaluated by linguistic fuzzy scale to compare among the diagnostic tests. This scale consists of selected parameters that possessed different weights which were determined by the experts' opinions of the field. The results of our study with both proposed MCDM methods indicated that the most effective diagnosis method of COVID-19 was chest CT. It is interesting to note that the methods that are consistently used in the diagnosis of viral diseases were ranked in second place for the diagnosis of COVID-19. However, each country should use appropriate diagnostic solutions according to its own resources. Our findings also show which diagnostic systems can be used in combination. Twit Text FOAVip Capacity Evaluation of Diagnostic Tests For COVID-19 Using Multicriteria Decision-Making Techniques ????Comput Math Methods Med http://www.kidney.de/pget.php?&tw=1&pmid=32802146 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32802146 #FOAvip English Wikipedia <ref>{{Cite pmid|32802146}}</ref> Capacity Evaluation of Diagnostic Tests For COVID-19 Using Multicriteria Decision-Making Techniques #MMPMID32802146 Sayan M; Sarigul Yildirim F; Sanlidag T; Uzun B; Uzun Ozsahin D; Ozsahin I Comput Math Methods Med 2020[]; 2020 (ä): 1560250 PMID32802146show ga In December 2019, cases of pneumonia were detected in Wuhan, China, which were caused by the highly contagious coronavirus. This study is aimed at comparing the confusion regarding the selection of effective diagnostic methods to make a mutual comparison among existing SARS-CoV-2 diagnostic tests and at determining the most effective one. Based on available published evidence and clinical practice, diagnostic tests of coronavirus disease (COVID-19) were evaluated by multi-criteria decision-making (MCDM) methods, namely, fuzzy preference ranking organization method for enrichment evaluation (fuzzy PROMETHEE) and fuzzy technique for order of preference by similarity to ideal solution (fuzzy TOPSIS). Computerized tomography of chest (chest CT), the detection of viral nucleic acid by polymerase chain reaction, cell culture, CoV-19 antigen detection, CoV-19 antibody IgM, CoV-19 antibody IgG, and chest X-ray were evaluated by linguistic fuzzy scale to compare among the diagnostic tests. This scale consists of selected parameters that possessed different weights which were determined by the experts' opinions of the field. The results of our study with both proposed MCDM methods indicated that the most effective diagnosis method of COVID-19 was chest CT. It is interesting to note that the methods that are consistently used in the diagnosis of viral diseases were ranked in second place for the diagnosis of COVID-19. However, each country should use appropriate diagnostic solutions according to its own resources. Our findings also show which diagnostic systems can be used in combination. |*Decision Making[MESH] |Betacoronavirus[MESH] |COVID-19[MESH] |COVID-19 Testing[MESH] |Clinical Laboratory Techniques/*methods[MESH] |Coronavirus Infections/*diagnosis[MESH] |Fuzzy Logic[MESH] |Humans[MESH] |Immunoglobulin G[MESH] |Models, Statistical[MESH] |Pandemics[MESH] |Pneumonia, Viral/*diagnosis[MESH] |Program Evaluation[MESH] |Reproducibility of Results[MESH] |SARS-CoV-2[MESH] |Sensitivity and Specificity[MESH]Capacity Evaluation of Diagnostic Tests For COVID-19 Using Multicriter(epmc).pdf DeepDyve Pubget Overpricing