Matches in SemOpenAlex for { <https://semopenalex.org/work/W4280522067> ?p ?o ?g. }
Showing items 1 to 80 of
80
with 100 items per page.
- W4280522067 abstract "Background: It is crucial for providers to screen high risk patients with limited data being available on young onset stroke (YOS). We aimed to determine predictors of all-cause mortality in this population using the Artificial Neural Network (ANN) model in a national cohort. Methods: We identified young adult (18-44 yrs) YOS hospitalizations from the National Inpatient Sample (2018). ANN’s predictive factors were selected for all-cause mortality. YOS admissions were randomly split between training (70%) & testing datasets (30%). Training data was used to calibrate ANN while testing data was used to evaluate accuracy of the algorithm. We compared the frequency of incorrect prediction between training and testing data and measured area under the Receiver Operating Curve (AUC) to determine ANN’s efficacy in predicting in-hospital mortality in YOS. Results: The 2018 YOS cohort consisted of 39,040 admissions with a mean age of 36 ± 6 years (50.1% male, 51.1% white, 26.2% black, 15.5% Hispanic, 3.2% Asian or Pacific islanders) patients). The all-cause-in-hospital mortality was 5.3%. Training data showed an improved lower predictions in testing model vs testing (5.0% vs 5.2% error rate) , thereby depicting better accuracy. Normalized predictors are displayed in Figure 1a. The AUC was 0.82 (Fig 1b) which shows an excellent ANN model for inpatient mortality in YOS patients. Conclusion: The ANN model successfully revealed the order of prevalent predictors for all-cause mortality that can eventually be utilized to improve survival in high-risk patients." @default.
- W4280522067 created "2022-05-22" @default.
- W4280522067 creator A5009499556 @default.
- W4280522067 creator A5011188865 @default.
- W4280522067 creator A5030452273 @default.
- W4280522067 creator A5036859067 @default.
- W4280522067 creator A5058275354 @default.
- W4280522067 creator A5061004748 @default.
- W4280522067 creator A5072307755 @default.
- W4280522067 creator A5082148261 @default.
- W4280522067 creator A5088648229 @default.
- W4280522067 date "2022-05-01" @default.
- W4280522067 modified "2023-09-23" @default.
- W4280522067 title "Abstract 177: Predictors Of All-cause Mortality In Young Onset Stroke: An Artificial Neural Network Analysis Using A Nationwide Cohort" @default.
- W4280522067 doi "https://doi.org/10.1161/circoutcomes.15.suppl_1.177" @default.
- W4280522067 hasPublicationYear "2022" @default.
- W4280522067 type Work @default.
- W4280522067 citedByCount "0" @default.
- W4280522067 crossrefType "journal-article" @default.
- W4280522067 hasAuthorship W4280522067A5009499556 @default.
- W4280522067 hasAuthorship W4280522067A5011188865 @default.
- W4280522067 hasAuthorship W4280522067A5030452273 @default.
- W4280522067 hasAuthorship W4280522067A5036859067 @default.
- W4280522067 hasAuthorship W4280522067A5058275354 @default.
- W4280522067 hasAuthorship W4280522067A5061004748 @default.
- W4280522067 hasAuthorship W4280522067A5072307755 @default.
- W4280522067 hasAuthorship W4280522067A5082148261 @default.
- W4280522067 hasAuthorship W4280522067A5088648229 @default.
- W4280522067 hasConcept C119857082 @default.
- W4280522067 hasConcept C126322002 @default.
- W4280522067 hasConcept C127413603 @default.
- W4280522067 hasConcept C144024400 @default.
- W4280522067 hasConcept C149923435 @default.
- W4280522067 hasConcept C179755657 @default.
- W4280522067 hasConcept C194828623 @default.
- W4280522067 hasConcept C201903717 @default.
- W4280522067 hasConcept C2780645631 @default.
- W4280522067 hasConcept C2908647359 @default.
- W4280522067 hasConcept C41008148 @default.
- W4280522067 hasConcept C50644808 @default.
- W4280522067 hasConcept C58471807 @default.
- W4280522067 hasConcept C71924100 @default.
- W4280522067 hasConcept C72563966 @default.
- W4280522067 hasConcept C78519656 @default.
- W4280522067 hasConcept C99454951 @default.
- W4280522067 hasConceptScore W4280522067C119857082 @default.
- W4280522067 hasConceptScore W4280522067C126322002 @default.
- W4280522067 hasConceptScore W4280522067C127413603 @default.
- W4280522067 hasConceptScore W4280522067C144024400 @default.
- W4280522067 hasConceptScore W4280522067C149923435 @default.
- W4280522067 hasConceptScore W4280522067C179755657 @default.
- W4280522067 hasConceptScore W4280522067C194828623 @default.
- W4280522067 hasConceptScore W4280522067C201903717 @default.
- W4280522067 hasConceptScore W4280522067C2780645631 @default.
- W4280522067 hasConceptScore W4280522067C2908647359 @default.
- W4280522067 hasConceptScore W4280522067C41008148 @default.
- W4280522067 hasConceptScore W4280522067C50644808 @default.
- W4280522067 hasConceptScore W4280522067C58471807 @default.
- W4280522067 hasConceptScore W4280522067C71924100 @default.
- W4280522067 hasConceptScore W4280522067C72563966 @default.
- W4280522067 hasConceptScore W4280522067C78519656 @default.
- W4280522067 hasConceptScore W4280522067C99454951 @default.
- W4280522067 hasIssue "Suppl_1" @default.
- W4280522067 hasLocation W42805220671 @default.
- W4280522067 hasOpenAccess W4280522067 @default.
- W4280522067 hasPrimaryLocation W42805220671 @default.
- W4280522067 hasRelatedWork W1999716305 @default.
- W4280522067 hasRelatedWork W2036671421 @default.
- W4280522067 hasRelatedWork W2057395739 @default.
- W4280522067 hasRelatedWork W2119627843 @default.
- W4280522067 hasRelatedWork W2156047300 @default.
- W4280522067 hasRelatedWork W2321605350 @default.
- W4280522067 hasRelatedWork W3141501930 @default.
- W4280522067 hasRelatedWork W4211058987 @default.
- W4280522067 hasRelatedWork W4247142009 @default.
- W4280522067 hasRelatedWork W69510764 @default.
- W4280522067 hasVolume "15" @default.
- W4280522067 isParatext "false" @default.
- W4280522067 isRetracted "false" @default.
- W4280522067 workType "article" @default.