Comparing feature-based classifiers and convolutional neural networks to detect arrhythmia from short segments of ECG F Andreotti, O Carr, MAF Pimentel, A Mahdi, M De Vos 2017 Computing in Cardiology (CinC), 1-4, 2017 | 184 | 2017 |
Variability in phase and amplitude of diurnal rhythms is related to variation of mood in bipolar and borderline personality disorder O Carr, KEA Saunders, A Tsanas, AC Bilderbeck, N Palmius, JR Geddes, ... Scientific reports 8 (1), 1649, 2018 | 62 | 2018 |
Heart rate variability in bipolar disorder and borderline personality disorder: a clinical review O Carr, M de Vos, KEA Saunders BMJ Ment Health 21 (1), 23-30, 2018 | 50 | 2018 |
Desynchronization of diurnal rhythms in bipolar disorder and borderline personality disorder O Carr, KEA Saunders, AC Bilderbeck, A Tsanas, N Palmius, JR Geddes, ... Translational psychiatry 8 (1), 79, 2018 | 25 | 2018 |
Group-Personalized Regression Models for Predicting Mental Health Scores From Objective Mobile Phone Data Streams: Observational Study N Palmius, KEA Saunders, O Carr, JR Geddes, GM Goodwin, M De Vos Journal of medical Internet research 20 (10), e10194, 2018 | 23 | 2018 |
Longitudinal patient stratification of electronic health records with flexible adjustment for clinical outcomes O Carr, A Javer, P Rockenschaub, O Parsons, R Durichen Machine Learning for Health, 220-238, 2021 | 9 | 2021 |
Prediction of the onset of cardiovascular diseases from electronic health records using multi-task gated recurrent units F Andreotti, FS Heldt, B Abu-Jamous, M Li, A Javer, O Carr, S Jovanovic, ... arXiv preprint arXiv:2007.08491, 2020 | 9 | 2020 |
Linking changes in heart rate variability to mood changes in daily life O Carr, F Andreotti, KEA Saunders, AC Bilderbeck, GM Goodwin, ... 2017 Computing in Cardiology (CinC), 1-4, 2017 | 6 | 2017 |
Deep Semi-Supervised Embedded Clustering (DSEC) for Stratification of Heart Failure Patients O Carr, S Jovanovic, L Albergante, F Andreotti, R Durichen, N Lipunova, ... Healthcare Systems, Population Health, and the Role of Health-Tech. ICML …, 2020 | 5 | 2020 |
Monitoring Depression in Bipolar Disorder using Circadian Measures from Smartphone Accelerometers O Carr, F Andreotti, KEA Saunders, N Palmius, GM Goodwin, M De Vos arXiv preprint arXiv:2007.02064, 2020 | 4 | 2020 |
Semi-Supervised Machine Learning Method and System Suitable for Identification of Patient Subgroups in Electronic Healthcare Records SJ Benjamin John Irving, Oliver Sebastian Leslie Carr US Patent App. 17/802,921, 2023 | 1* | 2023 |
Compensating trajectory bias for unsupervised patient stratification using adversarial recurrent neural networks A Javer, O Parsons, O Carr, J Baxter, C Diedrich, E Elçi, S Schaper, ... arXiv preprint arXiv:2112.07239, 2021 | | 2021 |
7. Digital Data Capture in the Characterisation of Diurnal Correlates of Mood Instability K Saunders, O Carr, A Bilderbeck, A Tsanas, N Palmius, G Guy, M de Vos Biological Psychiatry 83 (9), S3, 2018 | | 2018 |
The relationship between circadian rhythms and mood symptoms in bipolar disorder and borderline personality disorder O Carr University of Oxford, 2018 | | 2018 |