Predicting Alzheimer's disease progression using multi-modal deep learning approach. [electronic resource]
Producer: 20200825Description: 1952 p. digitalISSN:- 2045-2322
- Aged
- Aged, 80 and over
- Alzheimer Disease -- physiopathology
- Amyloid beta-Peptides -- cerebrospinal fluid
- Area Under Curve
- Biomarkers -- cerebrospinal fluid
- Brain -- metabolism
- Cognition -- physiology
- Cognitive Dysfunction -- diagnosis
- Cross-Sectional Studies
- Deep Learning
- Disease Progression
- Female
- Forecasting -- methods
- Humans
- Male
- Neuroimaging -- methods
- Peptide Fragments -- cerebrospinal fluid
- tau Proteins -- cerebrospinal fluid
No physical items for this record
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.
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