Matches in SemOpenAlex for { <https://semopenalex.org/work/W4387446670> ?p ?o ?g. }
Showing items 1 to 92 of
92
with 100 items per page.
- W4387446670 abstract "Abstract Introduction: Hypertension induces left atrial (LA) dysfunction and stiffness. Machine learning (ML) has been increasingly used in clinical diagnosis and prognosis prediction. To detect LA stiffness using ML with tree ensemble methods and SHAP values based on clinical biomarkers which were routinely measured in hypertension. Methods: 351 hypertensive patients were enrolled and measured LA volume (LAV) using the biplane modified Simpson’s method and LA reservoir strain (LAS-S) using 2D speckle-tracking echocardiography. The LA stiffness index (LASI) was defined as the ratio of E/eʹ to LAS-S. Four tree-based ML algorithms, including XGBoost, GBDT, Random Forest (RF), and LightGBM were used to discriminate the increased LASI (≥0.29) and LAV index (LAVI) ( ≥ 28 mL/m2) based on the routine circulating biomarkers including 38 features. We also used the SHAP values to evaluate features importance and interactions. Results: The top 20 selected variables were used as inputs for four ML models, GBDT presented the highest AUC/ROC (0.85, 95% CI 0.70-0.94) for predicting LASI, and RF model exhibited the best AUC/ROC (0.75, CI 0.57-0.92) for predicting LAVI. SHAP summary plot was applied on GBDT or RF model to identify feature contribution to LA stiffness and LA enlargement, and SHAP also revealed the interactions between variables. Conclusions: tree-based ML models with the SHAP method combining routine circulating biomarkers predicted LA stiffness with high accuracy. ML models can be useful to screen hypertensive patients with preclinical cardiac TOD, in order to improve personalized medical care at low cost." @default.
- W4387446670 created "2023-10-10" @default.
- W4387446670 creator A5001950705 @default.
- W4387446670 creator A5032321923 @default.
- W4387446670 creator A5038838057 @default.
- W4387446670 creator A5045764677 @default.
- W4387446670 creator A5047261490 @default.
- W4387446670 creator A5066943426 @default.
- W4387446670 creator A5070535662 @default.
- W4387446670 creator A5070961291 @default.
- W4387446670 date "2023-10-09" @default.
- W4387446670 modified "2023-10-11" @default.
- W4387446670 title "Applying Machine Learning with Tree Ensemble Methods and SHAP Values based on Routine Circulating Biomarkers to Detect Left Atrial Morphological and Functional Remodeling in Hypertension" @default.
- W4387446670 cites W1878630995 @default.
- W4387446670 cites W1968505805 @default.
- W4387446670 cites W1994930939 @default.
- W4387446670 cites W2037441873 @default.
- W4387446670 cites W2037507757 @default.
- W4387446670 cites W2050483448 @default.
- W4387446670 cites W206069421 @default.
- W4387446670 cites W2084368765 @default.
- W4387446670 cites W2106113917 @default.
- W4387446670 cites W2155011062 @default.
- W4387446670 cites W2160402085 @default.
- W4387446670 cites W2285799691 @default.
- W4387446670 cites W2326962210 @default.
- W4387446670 cites W2497304317 @default.
- W4387446670 cites W2514522574 @default.
- W4387446670 cites W2516331326 @default.
- W4387446670 cites W2595591314 @default.
- W4387446670 cites W2748778426 @default.
- W4387446670 cites W2754731886 @default.
- W4387446670 cites W2768956621 @default.
- W4387446670 cites W2888589263 @default.
- W4387446670 cites W2925344814 @default.
- W4387446670 cites W2937039788 @default.
- W4387446670 cites W2947905777 @default.
- W4387446670 cites W2952219976 @default.
- W4387446670 cites W2999615587 @default.
- W4387446670 cites W3085505525 @default.
- W4387446670 cites W3125603166 @default.
- W4387446670 cites W3138492897 @default.
- W4387446670 cites W3181471663 @default.
- W4387446670 cites W4233244688 @default.
- W4387446670 cites W4280509539 @default.
- W4387446670 cites W4376596474 @default.
- W4387446670 doi "https://doi.org/10.21203/rs.3.rs-3399684/v1" @default.
- W4387446670 hasPublicationYear "2023" @default.
- W4387446670 type Work @default.
- W4387446670 citedByCount "0" @default.
- W4387446670 crossrefType "posted-content" @default.
- W4387446670 hasAuthorship W4387446670A5001950705 @default.
- W4387446670 hasAuthorship W4387446670A5032321923 @default.
- W4387446670 hasAuthorship W4387446670A5038838057 @default.
- W4387446670 hasAuthorship W4387446670A5045764677 @default.
- W4387446670 hasAuthorship W4387446670A5047261490 @default.
- W4387446670 hasAuthorship W4387446670A5066943426 @default.
- W4387446670 hasAuthorship W4387446670A5070535662 @default.
- W4387446670 hasAuthorship W4387446670A5070961291 @default.
- W4387446670 hasBestOaLocation W43874466701 @default.
- W4387446670 hasConcept C119857082 @default.
- W4387446670 hasConcept C126322002 @default.
- W4387446670 hasConcept C154945302 @default.
- W4387446670 hasConcept C164705383 @default.
- W4387446670 hasConcept C169258074 @default.
- W4387446670 hasConcept C41008148 @default.
- W4387446670 hasConcept C58471807 @default.
- W4387446670 hasConcept C71924100 @default.
- W4387446670 hasConceptScore W4387446670C119857082 @default.
- W4387446670 hasConceptScore W4387446670C126322002 @default.
- W4387446670 hasConceptScore W4387446670C154945302 @default.
- W4387446670 hasConceptScore W4387446670C164705383 @default.
- W4387446670 hasConceptScore W4387446670C169258074 @default.
- W4387446670 hasConceptScore W4387446670C41008148 @default.
- W4387446670 hasConceptScore W4387446670C58471807 @default.
- W4387446670 hasConceptScore W4387446670C71924100 @default.
- W4387446670 hasLocation W43874466701 @default.
- W4387446670 hasOpenAccess W4387446670 @default.
- W4387446670 hasPrimaryLocation W43874466701 @default.
- W4387446670 hasRelatedWork W2961085424 @default.
- W4387446670 hasRelatedWork W3046775127 @default.
- W4387446670 hasRelatedWork W3107602296 @default.
- W4387446670 hasRelatedWork W3170094116 @default.
- W4387446670 hasRelatedWork W3209574120 @default.
- W4387446670 hasRelatedWork W4210805261 @default.
- W4387446670 hasRelatedWork W4306674287 @default.
- W4387446670 hasRelatedWork W4312192474 @default.
- W4387446670 hasRelatedWork W4386462264 @default.
- W4387446670 hasRelatedWork W4387297750 @default.
- W4387446670 isParatext "false" @default.
- W4387446670 isRetracted "false" @default.
- W4387446670 workType "article" @default.