Abstract:BACKGROUND
Behavioral representations obtained from mobile sensing data could be helpful for the prediction of an oncoming psychotic relapse in schizophrenia patients and delivery of timely interventions to mitigate such relapse.
OBJECTIVE
In this work, we aim to develop clustering models to obtain behavioral representations from continuous multimodal mobile sensing data towards relapse predict… Show more
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