Forecasting mental states in schizophrenia using digital phenotyping data: a retrospective study (Preprint)
Thierry Jean,
Rose Guay Hottin,
Pierre Orban
Abstract:BACKGROUND
Machine learning models that exploit rich digital phenotyping data to forecast mental states could improve clinical practice in psychiatry. A current limitation is that such predictive models tend to disregard a frequent property of the prediction targets, namely the ordinal nature of the rating scales they are often obtained from.
OBJECTIVE
We first aimed to contrast the performance… Show more
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