Data-driven classification of cognitively normal and mild cognitive impairment subtypes predicts progression in the NACC dataset.
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| Title: | Data-driven classification of cognitively normal and mild cognitive impairment subtypes predicts progression in the NACC dataset. |
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| Authors: | Edmonds EC; Banner Alzheimer's Institute, Tucson, Arizona, USA.; Departments of Neurology and Psychology, University of Arizona, Tucson, Arizona, USA., Thomas KR; Research Service, Veterans Affairs San Diego Healthcare System, San Diego, California, USA.; Department of Psychiatry, University of California, San Diego, La Jolla, California, USA., Rapcsak SZ; Banner Alzheimer's Institute, Tucson, Arizona, USA.; Departments of Neurology and Psychology, University of Arizona, Tucson, Arizona, USA.; Department of Speech, Language, & Hearing Sciences, University of Arizona, Tucson, Arizona, USA., Lindemer SL; Banner Alzheimer's Institute, Tucson, Arizona, USA., Delano-Wood L; Department of Psychiatry, University of California, San Diego, La Jolla, California, USA.; Psychology Service, Veterans Affairs San Diego Healthcare System, San Diego, California, USA., Salmon DP; Department of Neurosciences, University of California, San Diego, La Jolla, California, USA., Bondi MW; Department of Psychiatry, University of California, San Diego, La Jolla, California, USA.; Psychology Service, Veterans Affairs San Diego Healthcare System, San Diego, California, USA. |
| Source: | Alzheimer's & dementia : the journal of the Alzheimer's Association [Alzheimers Dement] 2024 May; Vol. 20 (5), pp. 3442-3454. Date of Electronic Publication: 2024 Apr 04. |
| Publication Type: | Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S. |
| Journal Info: | Publisher: John Wiley & Sons, Ltd Country of Publication: United States NLM ID: 101231978 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1552-5279 (Electronic) Linking ISSN: 15525260 NLM ISO Abbreviation: Alzheimers Dement Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1552-5279 |
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| DOI: | 10.1002/alz.13793 |
