Smartphone as a monitoring tool for bipolar disorder: a systematic review including data analysis, machine learning algorithms and predictive modelling

•Mobile apps allow for continuous monitoring of illness activity in BD patients•Behavioural objective data and voice features could serve as a markers of BD phase•The accuracy of phase classification in BD ranges from 67% -97%•Various machine learning approaches were applied in this field•Deep neural networks with recurrent architecture are effective in speech recognition