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.
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
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  Data: Language patterns in Japanese patients with Alzheimer disease: A machine learning approach.
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  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.
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  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
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      – Type: doi
        Value: 10.1111/pcn.13526
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      – Code: eng
        Text: English
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        StartPage: 273
    Titles:
      – TitleFull: Language patterns in Japanese patients with Alzheimer disease: A machine learning approach.
        Type: main
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          Name:
            NameFull: Momota Y
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            NameFull: Liang KC
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            NameFull: Horigome T
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            NameFull: Kitazawa M
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            NameFull: Eguchi Y
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            NameFull: Takamiya A
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            NameFull: Goto A
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            NameFull: Mimura M
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            NameFull: Kishimoto T
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          Dates:
            – D: 01
              M: 05
              Text: 2023 May
              Type: published
              Y: 2023
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            – Type: issn-electronic
              Value: 1440-1819
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              Value: 77
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              Value: 5
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            – TitleFull: Psychiatry and clinical neurosciences
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