FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2999169175> ?p ?o ?g. }

• W2999169175 endingPage "101786" @default.
• W2999169175 startingPage "101786" @default.
• W2999169175 abstract "As one of the most common neurobehavioral diseases in school-age children, Attention Deficit Hyperactivity Disorder (ADHD) has been increasingly studied in recent years. But it is still a challenge problem to accurately identify ADHD patients from healthy persons. To address this issue, we propose a dual subspace classification algorithm by using individual resting-state Functional Connectivity (FC). In detail, two subspaces respectively containing ADHD and healthy control features, called as dual subspaces, are learned with several subspace measures, wherein a modified graph embedding measure is employed to enhance the intra-class relationship of these features. Therefore, given a subject (used as test data) with its FCs, the basic classification principle is to compare its projected component energy of FCs on each subspace and then predict the ADHD or control label according to the subspace with larger energy. However, this principle in practice works with low efficiency, since the dual subspaces are unstably obtained from ADHD databases of small size. Thereby, we present an ADHD classification framework by a binary hypothesis testing of test data. Here, the FCs of test data with its ADHD or control label hypothesis are employed in the discriminative FC selection of training data to promote the stability of dual subspaces. For each hypothesis, the dual subspaces are learned from the selected FCs of training data. The total projected energy of these FCs is also calculated on the subspaces. Sequentially, the energy comparison is carried out under the binary hypotheses. The ADHD or control label is finally predicted for test data with the hypothesis of larger total energy. In the experiments on ADHD-200 dataset, our method achieves a significant classification performance compared with several state-of-the-art machine learning and deep learning methods, where our accuracy is about 90 % for most of ADHD databases in the leave-one-out cross-validation test." @default.
• W2999169175 created "2020-01-23" @default.
• W2999169175 creator A5023651959 @default.
• W2999169175 creator A5026108994 @default.
• W2999169175 creator A5030968272 @default.
• W2999169175 creator A5032277491 @default.
• W2999169175 creator A5040558103 @default.
• W2999169175 creator A5066688790 @default.
• W2999169175 date "2020-03-01" @default.
• W2999169175 modified "2023-10-14" @default.
• W2999169175 title "ADHD classification by dual subspace learning using resting-state functional connectivity" @default.
• W2999169175 cites W1984756294 @default.
• W2999169175 cites W2003787873 @default.
• W2999169175 cites W2071937933 @default.
• W2999169175 cites W2100930563 @default.
• W2999169175 cites W2111902267 @default.
• W2999169175 cites W2113103640 @default.
• W2999169175 cites W2129109788 @default.
• W2999169175 cites W2141938647 @default.
• W2999169175 cites W2144288697 @default.
• W2999169175 cites W2160048150 @default.
• W2999169175 cites W2174056659 @default.
• W2999169175 cites W2286206973 @default.
• W2999169175 cites W2337802099 @default.
• W2999169175 cites W2524686666 @default.
• W2999169175 cites W2530301558 @default.
• W2999169175 cites W2579434750 @default.
• W2999169175 cites W2746145198 @default.
• W2999169175 cites W2762517398 @default.
• W2999169175 cites W2765820969 @default.
• W2999169175 cites W2780777007 @default.
• W2999169175 cites W2883943146 @default.
• W2999169175 cites W2922276379 @default.
• W2999169175 cites W2944224170 @default.
• W2999169175 cites W2946763314 @default.
• W2999169175 doi "https://doi.org/10.1016/j.artmed.2019.101786" @default.
• W2999169175 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/32143793" @default.
• W2999169175 hasPublicationYear "2020" @default.
• W2999169175 type Work @default.
• W2999169175 sameAs 2999169175 @default.
• W2999169175 citedByCount "24" @default.
• W2999169175 countsByYear W29991691752020 @default.
• W2999169175 countsByYear W29991691752021 @default.
• W2999169175 countsByYear W29991691752022 @default.
• W2999169175 countsByYear W29991691752023 @default.
• W2999169175 crossrefType "journal-article" @default.
• W2999169175 hasAuthorship W2999169175A5023651959 @default.
• W2999169175 hasAuthorship W2999169175A5026108994 @default.
• W2999169175 hasAuthorship W2999169175A5030968272 @default.
• W2999169175 hasAuthorship W2999169175A5032277491 @default.
• W2999169175 hasAuthorship W2999169175A5040558103 @default.
• W2999169175 hasAuthorship W2999169175A5066688790 @default.
• W2999169175 hasConcept C119857082 @default.
• W2999169175 hasConcept C12267149 @default.
• W2999169175 hasConcept C12362212 @default.
• W2999169175 hasConcept C124952713 @default.
• W2999169175 hasConcept C142362112 @default.
• W2999169175 hasConcept C153180895 @default.
• W2999169175 hasConcept C154945302 @default.
• W2999169175 hasConcept C2524010 @default.
• W2999169175 hasConcept C2780980858 @default.
• W2999169175 hasConcept C32834561 @default.
• W2999169175 hasConcept C33923547 @default.
• W2999169175 hasConcept C41008148 @default.
• W2999169175 hasConcept C48372109 @default.
• W2999169175 hasConcept C66905080 @default.
• W2999169175 hasConcept C94375191 @default.
• W2999169175 hasConcept C97931131 @default.
• W2999169175 hasConceptScore W2999169175C119857082 @default.
• W2999169175 hasConceptScore W2999169175C12267149 @default.
• W2999169175 hasConceptScore W2999169175C12362212 @default.
• W2999169175 hasConceptScore W2999169175C124952713 @default.
• W2999169175 hasConceptScore W2999169175C142362112 @default.
• W2999169175 hasConceptScore W2999169175C153180895 @default.
• W2999169175 hasConceptScore W2999169175C154945302 @default.
• W2999169175 hasConceptScore W2999169175C2524010 @default.
• W2999169175 hasConceptScore W2999169175C2780980858 @default.
• W2999169175 hasConceptScore W2999169175C32834561 @default.
• W2999169175 hasConceptScore W2999169175C33923547 @default.
• W2999169175 hasConceptScore W2999169175C41008148 @default.
• W2999169175 hasConceptScore W2999169175C48372109 @default.
• W2999169175 hasConceptScore W2999169175C66905080 @default.
• W2999169175 hasConceptScore W2999169175C94375191 @default.
• W2999169175 hasConceptScore W2999169175C97931131 @default.
• W2999169175 hasFunder F4320321001 @default.
• W2999169175 hasLocation W29991691751 @default.
• W2999169175 hasOpenAccess W2999169175 @default.
• W2999169175 hasPrimaryLocation W29991691751 @default.
• W2999169175 hasRelatedWork W2024160000 @default.
• W2999169175 hasRelatedWork W2061273563 @default.
• W2999169175 hasRelatedWork W2082991302 @default.
• W2999169175 hasRelatedWork W2321141263 @default.
• W2999169175 hasRelatedWork W2380748039 @default.
• W2999169175 hasRelatedWork W2560493669 @default.
• W2999169175 hasRelatedWork W2729514902 @default.
• W2999169175 hasRelatedWork W2743258233 @default.
• W2999169175 hasRelatedWork W2773500201 @default.
• W2999169175 hasRelatedWork W4287995534 @default.

• next