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Fitness Trackers Detect Bipolar Mood Episodes
A study reveals that combining fitness tracker data with machine learning algorithms can effectively predict mood episodes in ...
Science Daily9d
Researchers use fitness tracker data and machine learning to detect bipolar disorder mood swings
Investigators evaluated whether data collected from a fitness tracker could be used to accurately detect mood episodes in people with bipolar disorder. Study indicates that a fitness tracker can ...
Neuroscience News8d
Fitness Trackers Detect Mood Episodes in Bipolar Disorder with High Accuracy
Data from fitness trackers can detect mood episodes in individuals with bipolar disorder with up to 89.1% accuracy for mania ...
Researchers use fitness tracker data and machine learning to detect bipolar disorder mood swings
Study indicates that a fitness tracker can detect mood episodes in bipolar disorder to help drive treatment ...