FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2023800996> ?p ?o ?g. }

• W2023800996 endingPage "223" @default.
• W2023800996 startingPage "211" @default.
• W2023800996 abstract "In the present study, a computer processing method was developed to objectively classify disease in the lower limb arteries evaluated by noninvasive ultrasonic duplex scanning. This method analyzes Doppler blood flow signals, extracts diagnostic features from Doppler spectrograms and classifies the severity of the disease into three categories of diameter reduction (0-19%, 20-49% and 50-99%). The features investigated were based on frequency features obtained at peak systole, spectral broadening indices and normalized amplitudes of the power spectrogram computed in various positive and negative frequency bands. A total of 379 arterial segments studied from the aorta to the popliteal artery were classified using a pattern recognition method based on the Bayes model. Two classification schemes using a two-node decision rule were tested. Both schemes gave similar results, the first one provided an overall accuracy of 83% (Kappa = 0.42) and the second an overall accuracy of 81% (Kappa = 0.35) when compared with conventional biplane contrast arteriography. These performances, especially for the 0 to 19% lesion category, are better than the one obtained by the technologist (accuracy = 76% and Kappa = 0.33), based on visual interpretation of the Doppler spectrograms. To recognize hemodynamically significant stenoses (50-99% lesions), the pattern recognition system has a sensitivity and a specificity of 50% and 99%, respectively, using classification scheme I. With classification scheme II, the sensitivity and the specificity are 50% and 98%, respectively. Visual interpretation of the Doppler spectrograms leads to a sensitivity and a specificity of 50% and 98%, respectively. These results are the first to be obtained by a pattern recognition system in classifying lower limb arterial stenoses." @default.
• W2023800996 created "2016-06-24" @default.
• W2023800996 creator A5008488563 @default.
• W2023800996 creator A5009696665 @default.
• W2023800996 creator A5011445780 @default.
• W2023800996 creator A5014880575 @default.
• W2023800996 creator A5017384014 @default.
• W2023800996 creator A5018718310 @default.
• W2023800996 creator A5027053431 @default.
• W2023800996 creator A5030943032 @default.
• W2023800996 date "1991-01-01" @default.
• W2023800996 modified "2023-10-18" @default.
• W2023800996 title "Computer analysis and pattern recognition of doppler blood flow spectra for disease classification in the lower limb arteries" @default.
• W2023800996 cites W1969344592 @default.
• W2023800996 cites W1976894246 @default.
• W2023800996 cites W1987801656 @default.
• W2023800996 cites W1989584148 @default.
• W2023800996 cites W2003712379 @default.
• W2023800996 cites W2008818767 @default.
• W2023800996 cites W2030997918 @default.
• W2023800996 cites W2033007428 @default.
• W2023800996 cites W2042823476 @default.
• W2023800996 cites W2042973087 @default.
• W2023800996 cites W2045693282 @default.
• W2023800996 cites W2046896027 @default.
• W2023800996 cites W2048570651 @default.
• W2023800996 cites W2053154970 @default.
• W2023800996 cites W2055988595 @default.
• W2023800996 cites W2068108431 @default.
• W2023800996 cites W2073820795 @default.
• W2023800996 cites W2076415757 @default.
• W2023800996 cites W2077004768 @default.
• W2023800996 cites W2087677683 @default.
• W2023800996 cites W2088121888 @default.
• W2023800996 cites W2101393522 @default.
• W2023800996 cites W2103983375 @default.
• W2023800996 cites W2108184824 @default.
• W2023800996 cites W2117332651 @default.
• W2023800996 cites W2138153039 @default.
• W2023800996 cites W2144922530 @default.
• W2023800996 cites W2146403040 @default.
• W2023800996 cites W2163570408 @default.
• W2023800996 cites W2167369834 @default.
• W2023800996 cites W2318573884 @default.
• W2023800996 cites W3187230447 @default.
• W2023800996 cites W4299732811 @default.
• W2023800996 doi "https://doi.org/10.1016/0301-5629(91)90042-u" @default.
• W2023800996 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/1887506" @default.
• W2023800996 hasPublicationYear "1991" @default.
• W2023800996 type Work @default.
• W2023800996 sameAs 2023800996 @default.
• W2023800996 citedByCount "15" @default.
• W2023800996 crossrefType "journal-article" @default.
• W2023800996 hasAuthorship W2023800996A5008488563 @default.
• W2023800996 hasAuthorship W2023800996A5009696665 @default.
• W2023800996 hasAuthorship W2023800996A5011445780 @default.
• W2023800996 hasAuthorship W2023800996A5014880575 @default.
• W2023800996 hasAuthorship W2023800996A5017384014 @default.
• W2023800996 hasAuthorship W2023800996A5018718310 @default.
• W2023800996 hasAuthorship W2023800996A5027053431 @default.
• W2023800996 hasAuthorship W2023800996A5030943032 @default.
• W2023800996 hasConcept C121332964 @default.
• W2023800996 hasConcept C126838900 @default.
• W2023800996 hasConcept C1276947 @default.
• W2023800996 hasConcept C142757262 @default.
• W2023800996 hasConcept C153180895 @default.
• W2023800996 hasConcept C154945302 @default.
• W2023800996 hasConcept C2524010 @default.
• W2023800996 hasConcept C2778724333 @default.
• W2023800996 hasConcept C33923547 @default.
• W2023800996 hasConcept C41008148 @default.
• W2023800996 hasConcept C45273575 @default.
• W2023800996 hasConcept C71924100 @default.
• W2023800996 hasConceptScore W2023800996C121332964 @default.
• W2023800996 hasConceptScore W2023800996C126838900 @default.
• W2023800996 hasConceptScore W2023800996C1276947 @default.
• W2023800996 hasConceptScore W2023800996C142757262 @default.
• W2023800996 hasConceptScore W2023800996C153180895 @default.
• W2023800996 hasConceptScore W2023800996C154945302 @default.
• W2023800996 hasConceptScore W2023800996C2524010 @default.
• W2023800996 hasConceptScore W2023800996C2778724333 @default.
• W2023800996 hasConceptScore W2023800996C33923547 @default.
• W2023800996 hasConceptScore W2023800996C41008148 @default.
• W2023800996 hasConceptScore W2023800996C45273575 @default.
• W2023800996 hasConceptScore W2023800996C71924100 @default.
• W2023800996 hasIssue "3" @default.
• W2023800996 hasLocation W20238009961 @default.
• W2023800996 hasLocation W20238009962 @default.
• W2023800996 hasOpenAccess W2023800996 @default.
• W2023800996 hasPrimaryLocation W20238009961 @default.
• W2023800996 hasRelatedWork W141524600 @default.
• W2023800996 hasRelatedWork W1841185769 @default.
• W2023800996 hasRelatedWork W2033914206 @default.
• W2023800996 hasRelatedWork W2049214470 @default.
• W2023800996 hasRelatedWork W2072926321 @default.
• W2023800996 hasRelatedWork W2105547684 @default.
• W2023800996 hasRelatedWork W2146076056 @default.
• W2023800996 hasRelatedWork W2155887765 @default.

• next