Lee, Garam <br/><br/>
Predicting Alzheimer's disease progression using multi-modal deep learning approach.  [electronic resource] 

 -  Scientific reports  02 2019 
 - 1952 p.  digital 
<br/><br/> 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. 
<br/><br/><label>ISSN: </label>2045-2322 
<br/><br/><label>Standard No.: </label>10.1038/s41598-018-37769-z  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Aged<br/>Aged, 80 and over<br/>Alzheimer Disease--physiopathology<br/>Amyloid beta-Peptides--cerebrospinal fluid<br/>Area Under Curve<br/>Biomarkers--cerebrospinal fluid<br/>Brain--metabolism<br/>Cognition--physiology<br/>Cognitive Dysfunction--diagnosis<br/>Cross-Sectional Studies<br/>Deep Learning<br/>Disease Progression<br/>Female<br/>Forecasting--methods<br/>Humans<br/>Male<br/>Neuroimaging--methods<br/>Peptide Fragments--cerebrospinal fluid<br/>tau Proteins--cerebrospinal fluid