FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3211031878> ?p ?o ?g. }

• W3211031878 endingPage "7" @default.
• W3211031878 startingPage "1" @default.
• W3211031878 abstract "Parkinson's disease is a common chronic disease that affects a large number of people. In the real world, however, Parkinson's disease can result in a loss of physical performance, which is classified as a movement disorder by clinicians. Parkinson's disease is currently diagnosed primarily through clinical symptoms, which are highly dependent on clinician experience. As a result, there is a need for effective early detection methods. Traditional machine learning algorithms filter out many inherently relevant features in the process of dimensionality reduction and feature classification, lowering the classification model's performance. To solve this problem and ensure high correlation between features while reducing dimensionality to achieve the goal of improving classification performance, this paper proposes a recurrent neural network classification model based on self attention and motion perception. Using a combination of self-attention mechanism and recurrent neural network, as well as wearable inertial sensors, the model classifies and trains the five brain area features extracted from MRI and DTI images (cerebral gray matter, white matter, cerebrospinal fluid density, and so on). Clinical and exercise data can be combined to produce characteristic parameters that can be used to describe movement sluggishness. The experimental results show that the model proposed in this paper improves the recognition performance of Parkinson's disease, which is better than the compared methods by 2.45% to 12.07%." @default.
• W3211031878 created "2021-11-08" @default.
• W3211031878 creator A5002096681 @default.
• W3211031878 creator A5066775778 @default.
• W3211031878 creator A5086677187 @default.
• W3211031878 date "2021-10-27" @default.
• W3211031878 modified "2023-10-16" @default.
• W3211031878 title "Self-Attention-Guided Recurrent Neural Network and Motion Perception for Intelligent Prediction of Chronic Diseases" @default.
• W3211031878 cites W2070654153 @default.
• W3211031878 cites W2583166443 @default.
• W3211031878 cites W2586329113 @default.
• W3211031878 cites W2591543707 @default.
• W3211031878 cites W2610862164 @default.
• W3211031878 cites W2617455590 @default.
• W3211031878 cites W2626992457 @default.
• W3211031878 cites W2735157241 @default.
• W3211031878 cites W2784104515 @default.
• W3211031878 cites W2792548008 @default.
• W3211031878 cites W2795125940 @default.
• W3211031878 cites W2795475639 @default.
• W3211031878 cites W2802601893 @default.
• W3211031878 cites W2806647989 @default.
• W3211031878 cites W2806774198 @default.
• W3211031878 cites W2888254910 @default.
• W3211031878 cites W2889331503 @default.
• W3211031878 cites W2902724344 @default.
• W3211031878 cites W2936059353 @default.
• W3211031878 cites W2941162019 @default.
• W3211031878 cites W2948164502 @default.
• W3211031878 cites W2972937106 @default.
• W3211031878 cites W3011484826 @default.
• W3211031878 cites W3015066510 @default.
• W3211031878 cites W3034385837 @default.
• W3211031878 cites W3043924360 @default.
• W3211031878 cites W3089499347 @default.
• W3211031878 cites W3093018267 @default.
• W3211031878 cites W3126310027 @default.
• W3211031878 cites W3213413147 @default.
• W3211031878 doi "https://doi.org/10.1155/2021/6382619" @default.
• W3211031878 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/8566041" @default.
• W3211031878 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/34745506" @default.
• W3211031878 hasPublicationYear "2021" @default.
• W3211031878 type Work @default.
• W3211031878 sameAs 3211031878 @default.
• W3211031878 citedByCount "0" @default.
• W3211031878 crossrefType "journal-article" @default.
• W3211031878 hasAuthorship W3211031878A5002096681 @default.
• W3211031878 hasAuthorship W3211031878A5066775778 @default.
• W3211031878 hasAuthorship W3211031878A5086677187 @default.
• W3211031878 hasBestOaLocation W32110318781 @default.
• W3211031878 hasConcept C119857082 @default.
• W3211031878 hasConcept C138885662 @default.
• W3211031878 hasConcept C142724271 @default.
• W3211031878 hasConcept C149635348 @default.
• W3211031878 hasConcept C150594956 @default.
• W3211031878 hasConcept C153180895 @default.
• W3211031878 hasConcept C154945302 @default.
• W3211031878 hasConcept C2776401178 @default.
• W3211031878 hasConcept C2779134260 @default.
• W3211031878 hasConcept C2779734285 @default.
• W3211031878 hasConcept C41008148 @default.
• W3211031878 hasConcept C41895202 @default.
• W3211031878 hasConcept C50644808 @default.
• W3211031878 hasConcept C70518039 @default.
• W3211031878 hasConcept C71924100 @default.
• W3211031878 hasConcept C81363708 @default.
• W3211031878 hasConcept C99508421 @default.
• W3211031878 hasConceptScore W3211031878C119857082 @default.
• W3211031878 hasConceptScore W3211031878C138885662 @default.
• W3211031878 hasConceptScore W3211031878C142724271 @default.
• W3211031878 hasConceptScore W3211031878C149635348 @default.
• W3211031878 hasConceptScore W3211031878C150594956 @default.
• W3211031878 hasConceptScore W3211031878C153180895 @default.
• W3211031878 hasConceptScore W3211031878C154945302 @default.
• W3211031878 hasConceptScore W3211031878C2776401178 @default.
• W3211031878 hasConceptScore W3211031878C2779134260 @default.
• W3211031878 hasConceptScore W3211031878C2779734285 @default.
• W3211031878 hasConceptScore W3211031878C41008148 @default.
• W3211031878 hasConceptScore W3211031878C41895202 @default.
• W3211031878 hasConceptScore W3211031878C50644808 @default.
• W3211031878 hasConceptScore W3211031878C70518039 @default.
• W3211031878 hasConceptScore W3211031878C71924100 @default.
• W3211031878 hasConceptScore W3211031878C81363708 @default.
• W3211031878 hasConceptScore W3211031878C99508421 @default.
• W3211031878 hasLocation W32110318781 @default.
• W3211031878 hasLocation W32110318782 @default.
• W3211031878 hasLocation W32110318783 @default.
• W3211031878 hasLocation W32110318784 @default.
• W3211031878 hasLocation W32110318785 @default.
• W3211031878 hasOpenAccess W3211031878 @default.
• W3211031878 hasPrimaryLocation W32110318781 @default.
• W3211031878 hasRelatedWork W2175746458 @default.
• W3211031878 hasRelatedWork W2732542196 @default.
• W3211031878 hasRelatedWork W2738221750 @default.
• W3211031878 hasRelatedWork W2760085659 @default.
• W3211031878 hasRelatedWork W2883200793 @default.
• W3211031878 hasRelatedWork W2912288872 @default.
• W3211031878 hasRelatedWork W3012978760 @default.

• next