FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4283644188> ?p ?o ?g. }

• W4283644188 endingPage "1005" @default.
• W4283644188 startingPage "995" @default.
• W4283644188 abstract "Prognostic prediction of nontuberculous mycobacteria pulmonary disease using a deep learning technique has not been attempted.Can a deep learning (DL) model using chest radiography predict the prognosis of nontuberculous mycobacteria pulmonary disease?Patients who received a diagnosis of nontuberculous mycobacteria pulmonary disease at Seoul National University Hospital (training and validation dataset) between January 2000 and December 2015 and at Seoul Metropolitan Government-Boramae Medical Center (test dataset) between January 2006 and December 2015 were included. We trained DL models to predict the 3-, 5-, and 10-year overall mortality using baseline chest radiographs at diagnosis. We tested the predictability for the corresponding mortality using only DL-driven radiographic scores and using both radiographic scores and clinical information (age, sex, BMI, and mycobacterial species).The datasets comprised 1,638 (training and validation set) and 566 (test set) chest radiographs from 1,034 and 200 patients, respectively. The Dl-driven radiographic score provided areas under the receiver operating characteristic curve (AUC) of 0.844, 0.781, and 0.792 for 10-, 5-, and 3-year mortality, respectively. The logistic regression model using both the radiographic score and clinical information provided AUCs of 0.922, 0.942, and 0.865 for the 10-, 5, and 3-year mortality, respectively.The DL model we developed could predict the mid-term to-long-term mortality of patients with nontuberculous mycobacteria pulmonary disease using a baseline radiograph at diagnosis, and the predictability increased with clinical information." @default.
• W4283644188 created "2022-06-29" @default.
• W4283644188 creator A5003756007 @default.
• W4283644188 creator A5009870877 @default.
• W4283644188 creator A5034453810 @default.
• W4283644188 creator A5044553288 @default.
• W4283644188 creator A5049122506 @default.
• W4283644188 creator A5055855310 @default.
• W4283644188 creator A5066020211 @default.
• W4283644188 date "2022-11-01" @default.
• W4283644188 modified "2023-10-16" @default.
• W4283644188 title "Deep Learning-Based Prediction Model Using Radiography in Nontuberculous Mycobacterial Pulmonary Disease" @default.
• W4283644188 cites W1579698247 @default.
• W4283644188 cites W1964523010 @default.
• W4283644188 cites W1973946651 @default.
• W4283644188 cites W1990508511 @default.
• W4283644188 cites W1998158176 @default.
• W4283644188 cites W2039981808 @default.
• W4283644188 cites W2042177180 @default.
• W4283644188 cites W2055306969 @default.
• W4283644188 cites W2098470449 @default.
• W4283644188 cites W2118287340 @default.
• W4283644188 cites W2142447693 @default.
• W4283644188 cites W2149657835 @default.
• W4283644188 cites W2152668882 @default.
• W4283644188 cites W2161590682 @default.
• W4283644188 cites W2187663530 @default.
• W4283644188 cites W2194775991 @default.
• W4283644188 cites W2275737843 @default.
• W4283644188 cites W2296626114 @default.
• W4283644188 cites W2328176404 @default.
• W4283644188 cites W2519867730 @default.
• W4283644188 cites W2559794190 @default.
• W4283644188 cites W2608231518 @default.
• W4283644188 cites W2621225386 @default.
• W4283644188 cites W2896293536 @default.
• W4283644188 cites W2900683726 @default.
• W4283644188 cites W2911323192 @default.
• W4283644188 cites W2921372111 @default.
• W4283644188 cites W2922557056 @default.
• W4283644188 cites W2963300950 @default.
• W4283644188 cites W2981056406 @default.
• W4283644188 cites W2990307612 @default.
• W4283644188 cites W2995646698 @default.
• W4283644188 cites W3028088974 @default.
• W4283644188 cites W3033438356 @default.
• W4283644188 cites W3045460727 @default.
• W4283644188 cites W3046113019 @default.
• W4283644188 cites W3049339260 @default.
• W4283644188 cites W3091277309 @default.
• W4283644188 cites W3093313684 @default.
• W4283644188 cites W3111786001 @default.
• W4283644188 cites W3190009641 @default.
• W4283644188 cites W3211690052 @default.
• W4283644188 doi "https://doi.org/10.1016/j.chest.2022.06.018" @default.
• W4283644188 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/35777447" @default.
• W4283644188 hasPublicationYear "2022" @default.
• W4283644188 type Work @default.
• W4283644188 citedByCount "2" @default.
• W4283644188 countsByYear W42836441882023 @default.
• W4283644188 crossrefType "journal-article" @default.
• W4283644188 hasAuthorship W4283644188A5003756007 @default.
• W4283644188 hasAuthorship W4283644188A5009870877 @default.
• W4283644188 hasAuthorship W4283644188A5034453810 @default.
• W4283644188 hasAuthorship W4283644188A5044553288 @default.
• W4283644188 hasAuthorship W4283644188A5049122506 @default.
• W4283644188 hasAuthorship W4283644188A5055855310 @default.
• W4283644188 hasAuthorship W4283644188A5066020211 @default.
• W4283644188 hasConcept C126322002 @default.
• W4283644188 hasConcept C126838900 @default.
• W4283644188 hasConcept C142724271 @default.
• W4283644188 hasConcept C151956035 @default.
• W4283644188 hasConcept C2778679867 @default.
• W4283644188 hasConcept C2780374374 @default.
• W4283644188 hasConcept C2781069245 @default.
• W4283644188 hasConcept C2781137159 @default.
• W4283644188 hasConcept C36454342 @default.
• W4283644188 hasConcept C58471807 @default.
• W4283644188 hasConcept C71924100 @default.
• W4283644188 hasConceptScore W4283644188C126322002 @default.
• W4283644188 hasConceptScore W4283644188C126838900 @default.
• W4283644188 hasConceptScore W4283644188C142724271 @default.
• W4283644188 hasConceptScore W4283644188C151956035 @default.
• W4283644188 hasConceptScore W4283644188C2778679867 @default.
• W4283644188 hasConceptScore W4283644188C2780374374 @default.
• W4283644188 hasConceptScore W4283644188C2781069245 @default.
• W4283644188 hasConceptScore W4283644188C2781137159 @default.
• W4283644188 hasConceptScore W4283644188C36454342 @default.
• W4283644188 hasConceptScore W4283644188C58471807 @default.
• W4283644188 hasConceptScore W4283644188C71924100 @default.
• W4283644188 hasFunder F4320322557 @default.
• W4283644188 hasIssue "5" @default.
• W4283644188 hasLocation W42836441881 @default.
• W4283644188 hasLocation W42836441882 @default.
• W4283644188 hasOpenAccess W4283644188 @default.
• W4283644188 hasPrimaryLocation W42836441881 @default.
• W4283644188 hasRelatedWork W2066363065 @default.
• W4283644188 hasRelatedWork W2075407451 @default.

• next