Applying machine learning models to data collected from wearable devices can identify a worker's degree of resilience and well-being, according to investigators at the Icahn School of Medicine at Mount Sinai.The findings, reported in , support collecting physiological metrics from wearable devices, such as the Apple Watch, as a way to monitor and assess psychological states remotely without requiring the completion of mental health questionnaires.
[
add
]
[
|
|
...
]