Matches in SemOpenAlex for { <https://semopenalex.org/work/W2415696047> ?p ?o ?g. }
Showing items 1 to 79 of
79
with 100 items per page.
- W2415696047 endingPage "7" @default.
- W2415696047 startingPage "614" @default.
- W2415696047 abstract "To establish models to predict individual risk of essential hypertension and to evaluate and explore new forecasting methods.To select data of 3054 community residents from an epidemiological survey and divided them into 4:1 (2438 cases and 616 cases) ratio in accordance with the balance of age and sex to filter variables, and to establish, test and evaluate the prediction models. Using artificial neural network (ANN) and logistic regression analysis to establish models while applying ROC to evaluate the prediction models.Forecast results of the models applying to the test set proved that ANN had lower specificity but better veracity and sensitivity than logistic regression. In particular, the Youden's index of the ANN2 came up to 0.8399 which was distinctly higher than the other two models. When the area was under the ROC curve of logistic regression, the ANN, and ANN2 models equaled to 0.732 +/- 0.026, 0.900 +/- 0.014 and 0.918 +/- 0.013 respectively, which proved that the ANN model was better in the prediction about individual health risk of essential hypertension.Our results showed that ANN method seemed better than logistic regression in terms of predicting the individual risk from hypertension thus supplied a new method to solve the forecast of individual risk." @default.
- W2415696047 created "2016-06-24" @default.
- W2415696047 creator A5003377806 @default.
- W2415696047 creator A5008046656 @default.
- W2415696047 creator A5014333694 @default.
- W2415696047 creator A5035258810 @default.
- W2415696047 creator A5037783744 @default.
- W2415696047 creator A5051610166 @default.
- W2415696047 creator A5084444817 @default.
- W2415696047 date "2008-06-01" @default.
- W2415696047 modified "2023-09-29" @default.
- W2415696047 title "[The application of artificial neural networks to predict individual risk of essential hypertension]." @default.
- W2415696047 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/19040050" @default.
- W2415696047 hasPublicationYear "2008" @default.
- W2415696047 type Work @default.
- W2415696047 sameAs 2415696047 @default.
- W2415696047 citedByCount "1" @default.
- W2415696047 countsByYear W24156960472020 @default.
- W2415696047 crossrefType "journal-article" @default.
- W2415696047 hasAuthorship W2415696047A5003377806 @default.
- W2415696047 hasAuthorship W2415696047A5008046656 @default.
- W2415696047 hasAuthorship W2415696047A5014333694 @default.
- W2415696047 hasAuthorship W2415696047A5035258810 @default.
- W2415696047 hasAuthorship W2415696047A5037783744 @default.
- W2415696047 hasAuthorship W2415696047A5051610166 @default.
- W2415696047 hasAuthorship W2415696047A5084444817 @default.
- W2415696047 hasConcept C105795698 @default.
- W2415696047 hasConcept C119857082 @default.
- W2415696047 hasConcept C151956035 @default.
- W2415696047 hasConcept C154945302 @default.
- W2415696047 hasConcept C33923547 @default.
- W2415696047 hasConcept C41008148 @default.
- W2415696047 hasConcept C43346845 @default.
- W2415696047 hasConcept C45804977 @default.
- W2415696047 hasConcept C50644808 @default.
- W2415696047 hasConcept C58471807 @default.
- W2415696047 hasConcept C71924100 @default.
- W2415696047 hasConceptScore W2415696047C105795698 @default.
- W2415696047 hasConceptScore W2415696047C119857082 @default.
- W2415696047 hasConceptScore W2415696047C151956035 @default.
- W2415696047 hasConceptScore W2415696047C154945302 @default.
- W2415696047 hasConceptScore W2415696047C33923547 @default.
- W2415696047 hasConceptScore W2415696047C41008148 @default.
- W2415696047 hasConceptScore W2415696047C43346845 @default.
- W2415696047 hasConceptScore W2415696047C45804977 @default.
- W2415696047 hasConceptScore W2415696047C50644808 @default.
- W2415696047 hasConceptScore W2415696047C58471807 @default.
- W2415696047 hasConceptScore W2415696047C71924100 @default.
- W2415696047 hasIssue "6" @default.
- W2415696047 hasLocation W24156960471 @default.
- W2415696047 hasOpenAccess W2415696047 @default.
- W2415696047 hasPrimaryLocation W24156960471 @default.
- W2415696047 hasRelatedWork W1641319867 @default.
- W2415696047 hasRelatedWork W2055765758 @default.
- W2415696047 hasRelatedWork W2056160110 @default.
- W2415696047 hasRelatedWork W2081301094 @default.
- W2415696047 hasRelatedWork W2117718902 @default.
- W2415696047 hasRelatedWork W2148185102 @default.
- W2415696047 hasRelatedWork W2171108904 @default.
- W2415696047 hasRelatedWork W2407295277 @default.
- W2415696047 hasRelatedWork W2477116617 @default.
- W2415696047 hasRelatedWork W2533982810 @default.
- W2415696047 hasRelatedWork W2596390911 @default.
- W2415696047 hasRelatedWork W2606596667 @default.
- W2415696047 hasRelatedWork W2772227406 @default.
- W2415696047 hasRelatedWork W2908120516 @default.
- W2415696047 hasRelatedWork W3089585361 @default.
- W2415696047 hasRelatedWork W313781064 @default.
- W2415696047 hasRelatedWork W3162489320 @default.
- W2415696047 hasRelatedWork W3204548891 @default.
- W2415696047 hasRelatedWork W2090087741 @default.
- W2415696047 hasRelatedWork W2965452200 @default.
- W2415696047 hasVolume "29" @default.
- W2415696047 isParatext "false" @default.
- W2415696047 isRetracted "false" @default.
- W2415696047 magId "2415696047" @default.
- W2415696047 workType "article" @default.