Machine learning can analyze large volumes of data much more quickly, analyzing hundreds of patient features and extrapolating thousands of data points in ways clinicians can’t.
Especially in behavioral health, there are overlapping symptoms and conditions. Machine learning algorithm can diagnose conditions with speed and accuracy using a data-driven understanding of behavioral health.
Increases accuracy: machine learning applied to patient data can determine current and future state more accurately, particularly given complexity of behavioral health.
Incorporates data previously impossible or difficult to get such as child’s natural behavior at home.