Faraz Hussain
Biographic Data
| ID | 7963529 |
|---|---|
| NAME | Faraz Hussain |
| GIVEN NAMES | Faraz |
| FAMILY NAME | Hussain |
| SIGNATURE | HUSSAIN F |
| AFFILIATIONS | University of Illinois Chicago |
| ORCID | 0000-0002-4910-1342 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Assessment of cognitive function in bipolar disorder with passive smartphone keystroke metadata
This pilot study demonstrates that passive, unobtrusive smartphone keystroke metadata can be used to probe cognitive function and dysfunction in bipolar disorder, revealing multi-scalar behavioral features accessible through digital assays
The Effects of Bipolar Disorder Risk on a Mobile Phone Keystroke Dynamics Based Biomarker of Brain Age
Background: Research by our group and others have demonstrated the feasibility of using mobile phone derived metadata to model mood and cognition. Given the effects of age and mood on cognitive performance, it was hypothesized that using such data a model could be built to predict chronological age and that differences between predicted age and actual age could be a marker of pathology. Methods: These data were collected via the ongoing BiAffect …
No prominent works on this page.
The Effects of Bipolar Disorder Risk on a Mobile Phone Keystroke Dynamics Based Biomarker of Brain Age
Background: Research by our group and others have demonstrated the feasibility of using mobile phone derived metadata to model mood and cognition. Given the effects of age and mood on cognitive performance, it was hypothesized that using such data a model could be built to predict chronological age and that differences between predicted age and actual age could be a marker of pathology. Methods: These data were collected via the ongoing BiAffect …
Assessment of cognitive function in bipolar disorder with passive smartphone keystroke metadata
This pilot study demonstrates that passive, unobtrusive smartphone keystroke metadata can be used to probe cognitive function and dysfunction in bipolar disorder, revealing multi-scalar behavioral features accessible through digital assays
Bipolar disorder (2 works) · Bipolar Disorder and Treatment (2 works) · Clinical Psychology (2 works) · Clinical Psychology (2 works) · Cognition (2 works) · Digital Mental Health Interventions (2 works) · Medicine (2 works) · Psychiatry (2 works) · Psychology (2 works) · Computer Science (1 work)