Correlating natural language processing and automated speech analysis with clinician assessment to quantify speech-language changes in mild cognitive impairment and Alzheimer's dementia.

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第一作者： Anthony,Yeung

第一单位： Department of Psychiatry, University of Toronto, 250 College Street, Toronto, ON, M5T 1R8, Canada. anthony.yeung@mail.utoronto.ca.

作者： Anthony,Yeung ^[1] ; Andrea,Iaboni ^[2] ; Elizabeth,Rochon ^[3] ; Monica,Lavoie ^[3] ; Calvin,Santiago ^[4] ; Maria,Yancheva ^[4] ; Jekaterina,Novikova ^[5] ; Mengdan,Xu ^[6] ; Jessica,Robin ^[6] ; Liam D,Kaufman ^[6] ; Fariya,Mostafa ^[6]

作者单位： Department of Psychiatry, University of Toronto, 250 College Street, Toronto, ON, M5T 1R8, Canada. anthony.yeung@mail.utoronto.ca. ^[1] Department of Psychiatry, University of Toronto, 250 College Street, Toronto, ON, M5T 1R8, Canada. ^[2] KITE Research Institute, Toronto Rehab, University Health Network, Toronto, Canada. ^[3] Department of Speech-Language Pathology and Rehabilitation Sciences Institute, University of Toronto, Toronto, Canada. ^[4] Division of Neurology, Department of Medicine, University of Toronto, Toronto, Canada. ^[5] Winterlight Labs, Toronto, Canada. ^[6]

关键词 Alzheimer’s Automated speech analysis Dementia Machine learning Markers Mild cognitive impairment Natural language processing

主题词阿尔茨海默病(Alzheimer Disease);人类(Humans);语言障碍(Language Disorders);自然语言处理(Natural Language Processing);言语(Speech)

DOI 10.1186/s13195-021-00848-x

PMID 34088354

发布时间 2021-06-24

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准确一般字义偏差语意偏离译文作用小提交