P2–125: Computer–based diagnostic algorithm for dementia: Comparison to expert opinion | Zendy

McCarten John R. | Zendy; Hemmy Laura S. | Zendy; McPherson Susan E. | Zendy; Dysken Maurice W. | Zendy; Lim Kelvin O. | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Premium

P2–125: Computer–based diagnostic algorithm for dementia: Comparison to expert opinion

Author(s) -

McCarten John R.,

Hemmy Laura S.,

McPherson Susan E.,

Dysken Maurice W.,

Lim Kelvin O.

Publication year - 2006

Publication title -

alzheimer's and dementia

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 6.713

H-Index - 118

eISSN - 1552-5279

pISSN - 1552-5260

DOI - 10.1016/j.jalz.2006.05.963

Subject(s) - dementia , neuropsychology , neuroimaging , medical diagnosis , psychiatry , operationalization , memory clinic , medicine , mini–mental state examination , disease , psychology , cognition , clinical psychology , pathology , philosophy , epistemology

3.55 for CDR 1 (52 patients); 4.10 for CDR 2 (45 patients) and 4.72 for CDR 3 (58 patients), p 0.001. Among the patients who had an IQCODE value between 3.00 and 3.12, 93.4% were classified as CDR 0 and among the patients who had an IQCODE value of 4.00 or higher, 94.8% were classified as CDR 3. Conclusions: When assessed retrospectively in a post-mortem study, the CDR and the IQCODE showed a strong correlation for the evaluation of cognitive status.

This content is not available in your region!

Continue researching here.

Having issues? You can contact us here

Accelerating Research