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Data from a wearable, in this case the Apple Watch, can predict a person’s ability to cope with adversity and manage stress.  Digital health researchers at New York’s Mt. Sinai Hospital and medical school have studied data from 329 healthcare workers, average age 37 years, 63% women and 37% men.  All had iPhones and Apple Watches and downloaded a Warrior Watch Study app.

At study onset, each subject completed a survey to pinpoint her or his psychological well-being and ability to effectively manage psychic adversity.  The smart watch recorded heart rate data over a 2 week period.  The Apple Health App calculated heart rate variability which is an indicator of activity in the involuntary nervous system.  Using watch-derived and demographic data, the researchers trained various algorithms to predict psychic resilience.  

The researchers conclude that wearable device output can be used by machine learning models to predict an individual’s level of psychologic resilience, but that more research is needed to improve the precision and accuracy of this determination.

https://academic.oup.com/jamiaopen/article/6/2/ooad029/7147662

#psychology #resilence #wearables #applewatch #machinelearning