Matches in SemOpenAlex for { <https://semopenalex.org/work/W4285820533> ?p ?o ?g. }
Showing items 1 to 99 of
99
with 100 items per page.
- W4285820533 endingPage "153" @default.
- W4285820533 startingPage "153" @default.
- W4285820533 abstract "The main manifestations of coronavirus disease-2019 (COVID-19) are similar to the many other respiratory diseases. In addition, the existence of numerous uncertainties in the prognosis of this condition has multiplied the need to establish a valid and accurate prediction model. This study aimed to develop a diagnostic model based on logistic regression to enhance the diagnostic accuracy of COVID-19.A standardized diagnostic model was developed on data of 400 patients who were referred to Ayatollah Talleghani Hospital, Abadan, Iran, for the COVID-19 diagnosis. We used the Chi-square correlation coefficient for feature selection, and logistic regression in SPSS V25 software to model the relationship between each of the clinical features. Potentially diagnostic determinants extracted from the patient's history, physical examination, and laboratory and imaging testing were entered in a logistic regression analysis. The discriminative ability of the model was expressed as sensitivity, specificity, accuracy, and area under the curve, respectively.After determining the correlation of each diagnostic regressor with COVID-19 using the Chi-square method, the 15 important regressors were obtained at the level of P < 0.05. The experimental results demonstrated that the binary logistic regression model yielded specificity, sensitivity, and accuracy of 97.3%, 98.8%, and 98.2%, respectively.The destructive effects of the COVID-19 outbreak and the shortage of healthcare resources in fighting against this pandemic require increasing attention to using the Clinical Decision Support Systems equipped with supervised learning classification algorithms such as logistic regression." @default.
- W4285820533 created "2022-07-19" @default.
- W4285820533 creator A5003619474 @default.
- W4285820533 creator A5040423334 @default.
- W4285820533 creator A5057216235 @default.
- W4285820533 date "2022-01-01" @default.
- W4285820533 modified "2023-09-26" @default.
- W4285820533 title "Using logistic regression to develop a diagnostic model for COVID-19: A single-center study" @default.
- W4285820533 cites W2158698691 @default.
- W4285820533 cites W2900514357 @default.
- W4285820533 cites W2904610037 @default.
- W4285820533 cites W3006645647 @default.
- W4285820533 cites W3009131687 @default.
- W4285820533 cites W3010223921 @default.
- W4285820533 cites W3012738153 @default.
- W4285820533 cites W3014911098 @default.
- W4285820533 cites W3015379548 @default.
- W4285820533 cites W3020048093 @default.
- W4285820533 cites W3022165204 @default.
- W4285820533 cites W3024906488 @default.
- W4285820533 cites W3025624029 @default.
- W4285820533 cites W3031557324 @default.
- W4285820533 cites W3033678483 @default.
- W4285820533 cites W3034454688 @default.
- W4285820533 cites W3037097266 @default.
- W4285820533 cites W3038806061 @default.
- W4285820533 cites W3065762161 @default.
- W4285820533 cites W3081694449 @default.
- W4285820533 cites W3092258613 @default.
- W4285820533 cites W3092284106 @default.
- W4285820533 cites W3097707180 @default.
- W4285820533 cites W3119748354 @default.
- W4285820533 cites W3129292001 @default.
- W4285820533 cites W3131183906 @default.
- W4285820533 cites W3135130383 @default.
- W4285820533 cites W3162724932 @default.
- W4285820533 cites W3166566787 @default.
- W4285820533 doi "https://doi.org/10.4103/jehp.jehp_1017_21" @default.
- W4285820533 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/35847143" @default.
- W4285820533 hasPublicationYear "2022" @default.
- W4285820533 type Work @default.
- W4285820533 citedByCount "4" @default.
- W4285820533 countsByYear W42858205332022 @default.
- W4285820533 countsByYear W42858205332023 @default.
- W4285820533 crossrefType "journal-article" @default.
- W4285820533 hasAuthorship W4285820533A5003619474 @default.
- W4285820533 hasAuthorship W4285820533A5040423334 @default.
- W4285820533 hasAuthorship W4285820533A5057216235 @default.
- W4285820533 hasBestOaLocation W42858205332 @default.
- W4285820533 hasConcept C105795698 @default.
- W4285820533 hasConcept C126322002 @default.
- W4285820533 hasConcept C151956035 @default.
- W4285820533 hasConcept C152877465 @default.
- W4285820533 hasConcept C154945302 @default.
- W4285820533 hasConcept C170964787 @default.
- W4285820533 hasConcept C2779134260 @default.
- W4285820533 hasConcept C3008058167 @default.
- W4285820533 hasConcept C33923547 @default.
- W4285820533 hasConcept C41008148 @default.
- W4285820533 hasConcept C524204448 @default.
- W4285820533 hasConcept C61722155 @default.
- W4285820533 hasConcept C71924100 @default.
- W4285820533 hasConcept C97931131 @default.
- W4285820533 hasConceptScore W4285820533C105795698 @default.
- W4285820533 hasConceptScore W4285820533C126322002 @default.
- W4285820533 hasConceptScore W4285820533C151956035 @default.
- W4285820533 hasConceptScore W4285820533C152877465 @default.
- W4285820533 hasConceptScore W4285820533C154945302 @default.
- W4285820533 hasConceptScore W4285820533C170964787 @default.
- W4285820533 hasConceptScore W4285820533C2779134260 @default.
- W4285820533 hasConceptScore W4285820533C3008058167 @default.
- W4285820533 hasConceptScore W4285820533C33923547 @default.
- W4285820533 hasConceptScore W4285820533C41008148 @default.
- W4285820533 hasConceptScore W4285820533C524204448 @default.
- W4285820533 hasConceptScore W4285820533C61722155 @default.
- W4285820533 hasConceptScore W4285820533C71924100 @default.
- W4285820533 hasConceptScore W4285820533C97931131 @default.
- W4285820533 hasIssue "1" @default.
- W4285820533 hasLocation W42858205331 @default.
- W4285820533 hasLocation W42858205332 @default.
- W4285820533 hasLocation W42858205333 @default.
- W4285820533 hasOpenAccess W4285820533 @default.
- W4285820533 hasPrimaryLocation W42858205331 @default.
- W4285820533 hasRelatedWork W1574918455 @default.
- W4285820533 hasRelatedWork W2075937340 @default.
- W4285820533 hasRelatedWork W2086639915 @default.
- W4285820533 hasRelatedWork W2116656460 @default.
- W4285820533 hasRelatedWork W2160974819 @default.
- W4285820533 hasRelatedWork W2171183097 @default.
- W4285820533 hasRelatedWork W2480082679 @default.
- W4285820533 hasRelatedWork W3024519857 @default.
- W4285820533 hasRelatedWork W3183807417 @default.
- W4285820533 hasRelatedWork W52294986 @default.
- W4285820533 hasVolume "11" @default.
- W4285820533 isParatext "false" @default.
- W4285820533 isRetracted "false" @default.
- W4285820533 workType "article" @default.