FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3136388241> ?p ?o ?g. }

• W3136388241 endingPage "106057" @default.
• W3136388241 startingPage "106057" @default.
• W3136388241 abstract "Patient-ventilator asynchrony (PVA) is the result of a mismatch between the need of patients and the assistance provided by the ventilator during mechanical ventilation. Because the poor interaction between the patient and the ventilator is associated with inferior clinical outcomes, effort should be made to identify and correct their occurrence. Deep learning has shown promising ability in PVA detection; however, lack of network interpretability hampers its application in clinic. We proposed an interpretable one-dimensional convolutional neural network (1DCNN) to detect four most manifestation types of PVA (double triggering, ineffective efforts during expiration, premature cycling and delayed cycling) under pressure control ventilation mode and pressure support ventilation mode. A global average pooling (GAP) layer was incorporated with the 1DCNN model to highlight the sections of the respiratory waveform the model focused on when making a classification. Dilation convolution and batch normalization were introduced to the 1DCNN model for compensating the reduction of performance caused by the GAP layer. The proposed interpretable 1DCNN exhibited comparable performance with the state-of-the-art deep learning model in PVA detection. The F1 scores for the detection of four types of PVA under pressure control ventilation and pressure support ventilation modes were greater than 0.96. The critical sections of the waveform used to detect PVA were highlighted, and found to be well consistent with the understanding of the respective type of PVA by experts. The findings suggest that the proposed 1DCNN can help detect PVA, and enhance the interpretability of the classification process to help clinicians better understand the results obtained from deep learning technology." @default.
• W3136388241 created "2021-03-29" @default.
• W3136388241 creator A5000941007 @default.
• W3136388241 creator A5006606272 @default.
• W3136388241 creator A5020523150 @default.
• W3136388241 creator A5028119339 @default.
• W3136388241 creator A5048267242 @default.
• W3136388241 creator A5066215346 @default.
• W3136388241 creator A5066549215 @default.
• W3136388241 creator A5069183847 @default.
• W3136388241 creator A5076715041 @default.
• W3136388241 date "2021-06-01" @default.
• W3136388241 modified "2023-10-16" @default.
• W3136388241 title "An interpretable 1D convolutional neural network for detecting patient-ventilator asynchrony in mechanical ventilation" @default.
• W3136388241 cites W1543778640 @default.
• W3136388241 cites W1976040371 @default.
• W3136388241 cites W1993814582 @default.
• W3136388241 cites W2052460970 @default.
• W3136388241 cites W2064391329 @default.
• W3136388241 cites W2066063381 @default.
• W3136388241 cites W2078294789 @default.
• W3136388241 cites W2088343584 @default.
• W3136388241 cites W2101762712 @default.
• W3136388241 cites W2140608368 @default.
• W3136388241 cites W2154535169 @default.
• W3136388241 cites W2291961022 @default.
• W3136388241 cites W2767056145 @default.
• W3136388241 cites W2773620769 @default.
• W3136388241 cites W2791905413 @default.
• W3136388241 cites W2801006931 @default.
• W3136388241 cites W2889717020 @default.
• W3136388241 cites W2902644322 @default.
• W3136388241 cites W2904768279 @default.
• W3136388241 cites W2905877654 @default.
• W3136388241 cites W2906113915 @default.
• W3136388241 cites W2910544057 @default.
• W3136388241 cites W3013235563 @default.
• W3136388241 cites W3055580861 @default.
• W3136388241 cites W3130703690 @default.
• W3136388241 cites W3133276869 @default.
• W3136388241 doi "https://doi.org/10.1016/j.cmpb.2021.106057" @default.
• W3136388241 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/33836375" @default.
• W3136388241 hasPublicationYear "2021" @default.
• W3136388241 type Work @default.
• W3136388241 sameAs 3136388241 @default.
• W3136388241 citedByCount "14" @default.
• W3136388241 countsByYear W31363882412021 @default.
• W3136388241 countsByYear W31363882412022 @default.
• W3136388241 countsByYear W31363882412023 @default.
• W3136388241 crossrefType "journal-article" @default.
• W3136388241 hasAuthorship W3136388241A5000941007 @default.
• W3136388241 hasAuthorship W3136388241A5006606272 @default.
• W3136388241 hasAuthorship W3136388241A5020523150 @default.
• W3136388241 hasAuthorship W3136388241A5028119339 @default.
• W3136388241 hasAuthorship W3136388241A5048267242 @default.
• W3136388241 hasAuthorship W3136388241A5066215346 @default.
• W3136388241 hasAuthorship W3136388241A5066549215 @default.
• W3136388241 hasAuthorship W3136388241A5069183847 @default.
• W3136388241 hasAuthorship W3136388241A5076715041 @default.
• W3136388241 hasConcept C108583219 @default.
• W3136388241 hasConcept C127413603 @default.
• W3136388241 hasConcept C136886441 @default.
• W3136388241 hasConcept C144024400 @default.
• W3136388241 hasConcept C153180895 @default.
• W3136388241 hasConcept C154945302 @default.
• W3136388241 hasConcept C174348530 @default.
• W3136388241 hasConcept C19165224 @default.
• W3136388241 hasConcept C200457457 @default.
• W3136388241 hasConcept C2781067378 @default.
• W3136388241 hasConcept C31258907 @default.
• W3136388241 hasConcept C41008148 @default.
• W3136388241 hasConcept C50644808 @default.
• W3136388241 hasConcept C78519656 @default.
• W3136388241 hasConcept C81363708 @default.
• W3136388241 hasConceptScore W3136388241C108583219 @default.
• W3136388241 hasConceptScore W3136388241C127413603 @default.
• W3136388241 hasConceptScore W3136388241C136886441 @default.
• W3136388241 hasConceptScore W3136388241C144024400 @default.
• W3136388241 hasConceptScore W3136388241C153180895 @default.
• W3136388241 hasConceptScore W3136388241C154945302 @default.
• W3136388241 hasConceptScore W3136388241C174348530 @default.
• W3136388241 hasConceptScore W3136388241C19165224 @default.
• W3136388241 hasConceptScore W3136388241C200457457 @default.
• W3136388241 hasConceptScore W3136388241C2781067378 @default.
• W3136388241 hasConceptScore W3136388241C31258907 @default.
• W3136388241 hasConceptScore W3136388241C41008148 @default.
• W3136388241 hasConceptScore W3136388241C50644808 @default.
• W3136388241 hasConceptScore W3136388241C78519656 @default.
• W3136388241 hasConceptScore W3136388241C81363708 @default.
• W3136388241 hasFunder F4320321001 @default.
• W3136388241 hasFunder F4320338464 @default.
• W3136388241 hasLocation W31363882411 @default.
• W3136388241 hasOpenAccess W3136388241 @default.
• W3136388241 hasPrimaryLocation W31363882411 @default.
• W3136388241 hasRelatedWork W2731899572 @default.
• W3136388241 hasRelatedWork W3006943036 @default.
• W3136388241 hasRelatedWork W3116150086 @default.
• W3136388241 hasRelatedWork W3129898729 @default.

• next