activity
20162022
most citedA signature-based machine learning model for bipolar disorder and borderline personality disorder

77 citations · 142 across the 9 of their papers we have counts for

collaborators

9 papers

cs.LG2022★ 1 cited

Personalised recommendations of sleep behaviour with neural networks using sleep diaries captured in Sleepio

Alejo Nevado-Holgado, Colin Espie, Maria Liakata +6

SleepioTM is a digital mobile phone and web platform that uses techniques from cognitive behavioural therapy (CBT) to improve sleep in people with sleep difficulty. As part of this…

cs.LG2021

Modelling Paralinguistic Properties in Conversational Speech to Detect Bipolar Disorder and Borderline Personality Disorder

Bo Wang, Yue Wu, Nemanja Vaci +3

Bipolar disorder (BD) and borderline personality disorder (BPD) are two chronic mental health conditions that clinicians find challenging to distinguish based on clinical interview…

q-bio.QM2020★ 2 cited

Lamotrigine Therapy for Bipolar Depression: Analysis of Self-Reported Patient Data

Antoine Nzeyimana, Kate EA Saunders, John R Geddes +1

Background: Depression in people with bipolar disorder is a major cause of long-term disability, possibly leading to early mortality and currently, limited safe and effective thera…

cs.LG2020★ 2 cited

Learning to Detect Bipolar Disorder and Borderline Personality Disorder with Language and Speech in Non-Clinical Interviews

Bo Wang, Yue Wu, Niall Taylor +4

Bipolar disorder (BD) and borderline personality disorder (BPD) are both chronic psychiatric disorders. However, their overlapping symptoms and common comorbidity make it challengi…

stat.AP2020★ 28 cited

Deriving information from missing data: implications for mood prediction

Yue Wu, Terry J. Lyons, Kate E. A. Saunders

The availability of mobile technologies has enabled the efficient collection prospective longitudinal, ecologically valid self-reported mood data from psychiatric patients. These d…

eess.SP2020★ 2 cited

Monitoring Depression in Bipolar Disorder using Circadian Measures from Smartphone Accelerometers

Oliver Carr, Fernando Andreotti, Kate E. A. Saunders +3

Current management of bipolar disorder relies on self-reported questionnaires and interviews with clinicians. The development of objective measures of deteriorating mood may also a…