Learning classification models of cognitive conditions from subtle behaviors in the digital Clock Drawing Test
The Clock Drawing Test—a simple pencil and paper test—has been used for more than 50 years as a screening tool to differentiate normal individuals from those with cognitive impairment, and has proven useful in helping to diagnose cognitive dysfunction associated with neurological disorders such as A...
Main Authors: | Souillard-Mandar, William, Davis, Randall, Rudin, Cynthia, Au, Rhoda, Libon, David J., Swenson, Rodney, Price, Catherine C., Lamar, Melissa, Penney, Dana L. |
---|---|
Other Authors: | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory |
Format: | Article |
Language: | English |
Published: |
Springer US
2016
|
Online Access: | http://hdl.handle.net/1721.1/103137 https://orcid.org/0000-0001-5232-7281 |
Similar Items
-
Learning classification models of cognitive conditions from subtle behaviors in the digital Clock Drawing Test
by: Souillard-Mandar, William
Published: (2016) -
Digital Clock Drawing: Differentiating “Thinking” versus “Doing” in Younger and Older Adults with Depression
by: Cohen, Jamie, et al.
Published: (2015) -
DCTclock: Clinically-Interpretable and Automated Artificial Intelligence Analysis of Drawing Behavior for Capturing Cognition
by: Souillard-Mandar, William, et al.
Published: (2022) -
THink: Inferring Cognitive Status from Subtle Behaviors
by: Davis, Randall, et al.
Published: (2021) -
Cognitive Correlates of Digital Clock Drawing Metrics in Older Adults with and without Mild Cognitive Impairment
by: Dion, Catherine, et al.
Published: (2021)