Language patterns in Japanese patients with Alzheimer disease: A machine learning approach.
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| Title: | Language patterns in Japanese patients with Alzheimer disease: A machine learning approach. |
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| Authors: | Momota Y; Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan., Liang KC; Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan., Horigome T; Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan., Kitazawa M; Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan., Eguchi Y; Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan.; Benesse Institute for Research on Continuing Care, Benesse Style Care Co., Ltd., Tokyo, Japan., Takamiya A; Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan.; Neuropsychiatry, Department of Neurosciences, Leuven Brain Institute, KU Leuven, Belgium., Goto A; Tsurugaoka Garden Hospital, Tokyo, Japan., Mimura M; Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan., Kishimoto T; Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan.; Psychiatry Department, Donald and Barbara Zucker School of Medicine, New York, New York, USA. |
| Source: | Psychiatry and clinical neurosciences [Psychiatry Clin Neurosci] 2023 May; Vol. 77 (5), pp. 273-281. Date of Electronic Publication: 2023 Feb 08. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Blackwell Science Country of Publication: Australia NLM ID: 9513551 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1440-1819 (Electronic) Linking ISSN: 13231316 NLM ISO Abbreviation: Psychiatry Clin Neurosci Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 36579663 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Language patterns in Japanese patients with Alzheimer disease: A machine learning approach. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Momota+Y%22">Momota Y</searchLink>; Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan.<br /><searchLink fieldCode="AU" term="%22Liang+KC%22">Liang KC</searchLink>; Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan.<br /><searchLink fieldCode="AU" term="%22Horigome+T%22">Horigome T</searchLink>; Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan.<br /><searchLink fieldCode="AU" term="%22Kitazawa+M%22">Kitazawa M</searchLink>; Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan.<br /><searchLink fieldCode="AU" term="%22Eguchi+Y%22">Eguchi Y</searchLink>; Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan.; Benesse Institute for Research on Continuing Care, Benesse Style Care Co., Ltd., Tokyo, Japan.<br /><searchLink fieldCode="AU" term="%22Takamiya+A%22">Takamiya A</searchLink>; Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan.; Neuropsychiatry, Department of Neurosciences, Leuven Brain Institute, KU Leuven, Belgium.<br /><searchLink fieldCode="AU" term="%22Goto+A%22">Goto A</searchLink>; Tsurugaoka Garden Hospital, Tokyo, Japan.<br /><searchLink fieldCode="AU" term="%22Mimura+M%22">Mimura M</searchLink>; Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan.<br /><searchLink fieldCode="AU" term="%22Kishimoto+T%22">Kishimoto T</searchLink>; Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan.; Psychiatry Department, Donald and Barbara Zucker School of Medicine, New York, New York, USA. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%229513551%22">Psychiatry and clinical neurosciences</searchLink> [Psychiatry Clin Neurosci] 2023 May; Vol. 77 (5), pp. 273-281. <i>Date of Electronic Publication: </i>2023 Feb 08. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Blackwell+Science%22">Blackwell Science </searchLink><i>Country of Publication: </i>Australia <i>NLM ID: </i>9513551 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1440-1819 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2213231316%22">13231316 </searchLink><i>NLM ISO Abbreviation: </i>Psychiatry Clin Neurosci <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=36579663 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1111/pcn.13526 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 273 Titles: – TitleFull: Language patterns in Japanese patients with Alzheimer disease: A machine learning approach. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Momota Y – PersonEntity: Name: NameFull: Liang KC – PersonEntity: Name: NameFull: Horigome T – PersonEntity: Name: NameFull: Kitazawa M – PersonEntity: Name: NameFull: Eguchi Y – PersonEntity: Name: NameFull: Takamiya A – PersonEntity: Name: NameFull: Goto A – PersonEntity: Name: NameFull: Mimura M – PersonEntity: Name: NameFull: Kishimoto T IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: 2023 May Type: published Y: 2023 Identifiers: – Type: issn-electronic Value: 1440-1819 Numbering: – Type: volume Value: 77 – Type: issue Value: 5 Titles: – TitleFull: Psychiatry and clinical neurosciences Type: main |
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