Matches in SemOpenAlex for { <https://semopenalex.org/work/W2892743949> ?p ?o ?g. }
- W2892743949 endingPage "224" @default.
- W2892743949 startingPage "216" @default.
- W2892743949 abstract "In this paper, we proposed a new radiomics-based treatment outcome prediction model for cancer patients. The prediction model is developed based on belief function theory and sparsity learning to address the challenges of redundancy, heterogeneity, and uncertainty of radiomic features, and relatively small-sized and unbalanced training samples. The model first selects the most predictive feature subsets from relatively large amounts of radiomic features extracted from preand/or in-treatment positron emission tomography images and available clinical and demographic features. Then an evidential k-nearest neighbor classifier is proposed to utilize the selected features for treatment outcome prediction. Twenty-five stage II-III lung, 36 esophagus, 63 stage II-III cervix, and 45 lymphoma cancer patient cases were included in this retrospective study. Performance and robustness of the proposed model were assessed with measures of feature selection stability, outcome prediction accuracy, and receiver operating characteristics analysis. Comparison with other methods was conducted to demonstrate the feasibility and superior performance of the proposed model." @default.
- W2892743949 created "2018-10-05" @default.
- W2892743949 creator A5002386951 @default.
- W2892743949 creator A5017521861 @default.
- W2892743949 creator A5037212091 @default.
- W2892743949 creator A5046506193 @default.
- W2892743949 creator A5061935844 @default.
- W2892743949 creator A5077300873 @default.
- W2892743949 creator A5077796440 @default.
- W2892743949 creator A5088968570 @default.
- W2892743949 creator A5089512128 @default.
- W2892743949 date "2019-03-01" @default.
- W2892743949 modified "2023-10-13" @default.
- W2892743949 title "Treatment Outcome Prediction for Cancer Patients Based on Radiomics and Belief Function Theory" @default.
- W2892743949 cites W1590183771 @default.
- W2892743949 cites W1779363178 @default.
- W2892743949 cites W1993220166 @default.
- W2892743949 cites W1996202725 @default.
- W2892743949 cites W1996350067 @default.
- W2892743949 cites W2009936243 @default.
- W2892743949 cites W2014915963 @default.
- W2892743949 cites W2055271333 @default.
- W2892743949 cites W2064751934 @default.
- W2892743949 cites W2066843515 @default.
- W2892743949 cites W2079957645 @default.
- W2892743949 cites W2091101703 @default.
- W2892743949 cites W2095544266 @default.
- W2892743949 cites W2097475056 @default.
- W2892743949 cites W2099698084 @default.
- W2892743949 cites W2103004421 @default.
- W2892743949 cites W2107432340 @default.
- W2892743949 cites W2108710077 @default.
- W2892743949 cites W2111547563 @default.
- W2892743949 cites W2118978333 @default.
- W2892743949 cites W2128739912 @default.
- W2892743949 cites W2137317896 @default.
- W2892743949 cites W2143426320 @default.
- W2892743949 cites W2147210976 @default.
- W2892743949 cites W2148143831 @default.
- W2892743949 cites W2153563443 @default.
- W2892743949 cites W2153596970 @default.
- W2892743949 cites W2156647247 @default.
- W2892743949 cites W2156875677 @default.
- W2892743949 cites W2162194051 @default.
- W2892743949 cites W2168083201 @default.
- W2892743949 cites W2174661749 @default.
- W2892743949 cites W2274030136 @default.
- W2892743949 cites W2346587523 @default.
- W2892743949 cites W2403746960 @default.
- W2892743949 cites W2407353737 @default.
- W2892743949 cites W2469692308 @default.
- W2892743949 cites W2524254375 @default.
- W2892743949 cites W2555986604 @default.
- W2892743949 cites W2709480298 @default.
- W2892743949 cites W2770602367 @default.
- W2892743949 cites W3020888192 @default.
- W2892743949 cites W4250236131 @default.
- W2892743949 cites W4301347335 @default.
- W2892743949 doi "https://doi.org/10.1109/trpms.2018.2872406" @default.
- W2892743949 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6941853" @default.
- W2892743949 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/31903444" @default.
- W2892743949 hasPublicationYear "2019" @default.
- W2892743949 type Work @default.
- W2892743949 sameAs 2892743949 @default.
- W2892743949 citedByCount "20" @default.
- W2892743949 countsByYear W28927439492019 @default.
- W2892743949 countsByYear W28927439492020 @default.
- W2892743949 countsByYear W28927439492021 @default.
- W2892743949 countsByYear W28927439492022 @default.
- W2892743949 crossrefType "journal-article" @default.
- W2892743949 hasAuthorship W2892743949A5002386951 @default.
- W2892743949 hasAuthorship W2892743949A5017521861 @default.
- W2892743949 hasAuthorship W2892743949A5037212091 @default.
- W2892743949 hasAuthorship W2892743949A5046506193 @default.
- W2892743949 hasAuthorship W2892743949A5061935844 @default.
- W2892743949 hasAuthorship W2892743949A5077300873 @default.
- W2892743949 hasAuthorship W2892743949A5077796440 @default.
- W2892743949 hasAuthorship W2892743949A5088968570 @default.
- W2892743949 hasAuthorship W2892743949A5089512128 @default.
- W2892743949 hasBestOaLocation W28927439494 @default.
- W2892743949 hasConcept C104317684 @default.
- W2892743949 hasConcept C113238511 @default.
- W2892743949 hasConcept C119857082 @default.
- W2892743949 hasConcept C148483581 @default.
- W2892743949 hasConcept C153180895 @default.
- W2892743949 hasConcept C154945302 @default.
- W2892743949 hasConcept C185592680 @default.
- W2892743949 hasConcept C2778559731 @default.
- W2892743949 hasConcept C41008148 @default.
- W2892743949 hasConcept C55493867 @default.
- W2892743949 hasConcept C58471807 @default.
- W2892743949 hasConcept C63479239 @default.
- W2892743949 hasConceptScore W2892743949C104317684 @default.
- W2892743949 hasConceptScore W2892743949C113238511 @default.
- W2892743949 hasConceptScore W2892743949C119857082 @default.
- W2892743949 hasConceptScore W2892743949C148483581 @default.
- W2892743949 hasConceptScore W2892743949C153180895 @default.
- W2892743949 hasConceptScore W2892743949C154945302 @default.