An interpretable model based on graph learning for diagnosis of Parkinson's disease with voice-related EEG.
| Publicado en: | NPJ Digital Medicine Vol. 7; no. 1; pp. 1 - 13 |
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| Autores principales: | , , , , , , , , , , , |
| Formato: | equations & formulas pictorial research tables/charts Journal Article |
| Publicado: |
Springer Nature
1/5/2024
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=174643913&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 174643913 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 23986352 LQV4 jtl: NPJ Digital Medicine issn: 23986352 maglogo: N pubinfo: dt: 1/5/2024 vid: 7 iid: 1 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 174643913 174643913 174643913 10.1038/s41746-023-00983-9 174643913 ppf: 1 ppct: 12 formats: tig: atl: An interpretable model based on graph learning for diagnosis of Parkinson's disease with voice-related EEG. aug: au: Zhao, Shuzhi Dai, Guangyan Li, Jingting Zhu, Xiaoxia Huang, Xiyan Li, Yongxue Tan, Mingdan Wang, Lan Fang, Peng Chen, Xi Yan, Nan Liu, Hanjun affil: https://ror.org/0064kty71 Department of Rehabilitation Medicine, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China sug: subj: Parkinson Disease Diagnosis Models, Statistical Electroencephalography Methods Deep Learning Neural Networks (Computer) Signal Processing, Computer Assisted Task Performance and Analysis Human Descriptive Statistics Conceptual Framework Time Series Data Collection Methods Male Female Middle Age Aged Neuropsychological Tests Experimental Studies Funding Source Middle Aged: 45-64 years Aged: 65+ years Male Female pubtype: Academic Journal doctype: equations & formulas pictorial research tables/charts Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
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