Introduced by Roberto Zicari, visiting Professor at UC Berkeley, Full Professor at J.W. Goethe University Frankfurt. Psychological mood disorders are often described as both social and medical phenomena. Recent studies in suicide prevention make connections between mood disorders and patterns in residential power use, logs of phone calls, and purchasing history, while older studies identify certain demographic groups as being more at risk. The problem of screening for and predicting the risk of mood disorders in the general population could have a major impact on population health. Can a combination of EMRs (containing clinical data) and other data sources improve upon current strategies for predicting the individualized risk for developing a mood disorder?
A Framework for Digital Transformation