AI and Predictive Analytics in Healthcare - DZone AI

A few years ago, I wrote about a fascinating Italian project to use mobile phone data to predict the onset of bipolar disorder. The notion was that the sensors built into the average smartphone are ideal for picking up on the mood changes users undergo as they occur. For instance, the manic stage of the condition is typified by hyperactivity, which can manifest itself in rapid speech, high levels of movement, and excessive phone usage. People in depressive states, by contrast, tend to show similar behaviors, albeit at the other end of the spectrum. It isn't the only work utilizing AI to help those with bipolar disorder, as a recent paper from the University of Cincinnati outlined an approach to accurately predict treatment outcomes by using AI.