| Autor: |
Aditya Narayan, Margo Goncharova, Max Goncharov, Andrew Gostine, Nirav R. Shah, Robert M. Kaplan |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
|
| Zdroj: |
Frontiers in Public Health, Vol 11 (2024) |
| Druh dokumentu: |
article |
| ISSN: |
2296-2565 |
| DOI: |
10.3389/fpubh.2023.1277714 |
| Popis: |
Accurate observation of patient functioning is necessary for rigorous clinical research and for improving the quality of patient care. However, clinic or laboratory environments systematically differ from the contexts of everyday life. Further, assessments that are completed in a single institutional session may not be generalizable. Here, we describe a computer vision methodology that measures human functioning continuously in the environments where patients live, sleep, and eat. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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