Portable technologies for digital phenotyping of bipolar disorder: A systematic review

Author:

Saccaro Luigi F.ORCID,Amatori Giulia,Cappelli Andrea,Mazziotti Raffaele,Dell'Osso Liliana,Rutigliano GraziaORCID

Funder

Università di Pisa

Publisher

Elsevier BV

Subject

Psychiatry and Mental health,Clinical Psychology

Reference115 articles.

1. Performance of the biological rhythms interview for assessment in neuropsychiatry: an item response theory and actigraphy analysis;Allega;J. Affect. Disord.,2018

2. Audio-based recognition of bipolar disorder utilising capsule networks;Amiriparian,2019

3. Smartphone as a monitoring tool for bipolar disorder: a systematic review including data analysis, machine learning algorithms and predictive modelling;Antosik-Wójcińska;Int. J. Med. Inform.,2020

4. A signature-based machine learning model for distinguishing bipolar disorder and borderline personality disorder;Arribas;Transl. Psychiatry,2018

5. Areas of uncertainties and unmet needs in bipolar disorders: clinical and research perspectives;Bauer;Lancet Psychiatry,2018

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