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The availability of mobile technologies has enabled the efficient collection prospective longitudinal, ecologically valid self-reported mood data from psychiatric patients.
Learning spatial-semantic context with fully convolutional recurrent network for online handwritten Chinese text recognition
Xie, Z., Sun, Z., Jin, L., Ni, H., and Lyons, T., · 1917
Earlier work this paper cites.
The Altman self-rating mania scale
Altman, E.G., Hedeker, D., Peterson, J.L. and Davis, J.M., · 1997
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System control and rough paths
Lyons, T. and Qian, Z., · 2002
Earlier work this paper cites.
The 16-Item Quick Inventory of Depressive Symptomatology (QIDS), clinician rating (QIDS-C), and self-report (QIDS-SR): a psychometric evaluation in patients with chronic major depression
Rush, A.J., Trivedi, M.H., Ibrahim, H.M., Carmody, T.J., Arnow, B., Klein, D.N., Markowitz, J.C., Ninan, P.T., Kornstein, S., Manber, R. and Thase, M.E., · 2003
Earlier work this paper cites.
The longitudinal course of bipolar disorder as revealed through weekly text messaging: a feasibility study
Bopp, J.M., Miklowitz, D.J., Goodwin, G.M., Stevens, W., Rendell, J.M. and Geddes, J.R., · 2010
Earlier work this paper cites.
Pattern of neural responses to verbal fluency shows diagnostic specificity for schizophrenia and bipolar disorder
Costafreda, S.G., Fu, C.H., Picchioni, M., Toulopoulou, T., McDonald, C., Kravariti, E., Walshe, M., Prata, D., Murray, R.M. and McGuire, P.K., · 2011
Earlier work this paper cites.
Can neuroimaging be used as a support to diagnosis of borderline personality disorder? An approach based on computational neuroanatomy and machine learning
Sato, J.R., de Araujo Filho, G.M., de Araujo, T.B., Bressan, R.A., de Oliveira, P.P. and Jackowski, A.P., · 2012
Earlier work this paper cites.
Diagnostic and statistical manual of mental disorders
American Psychiatric Association, · 2013
Cited alongside, same era.
Solving the KPZ equation
Hairer, M., · 2013
Cited alongside, same era.
A theory of regularity structures
Hairer, M., · 2014
Cited alongside, same era.
Daily electronic self-monitoring in bipolar disorder using smartphones–the MONARCA I trial: a randomized, placebo-controlled, single-blind, parallel group trial
Faurholt-Jepsen, M., Frost, M., Ritz, C., Christensen, E.M., Jacoby, A.S., Mikkelsen, R.L., Knorr, U., Bardram, J.E., Vinberg, M. and Kessing, L.V., · 2015
Cited alongside, same era.
Detecting bipolar depression from geographic location data
Palmius, N., Tsanas, A., Saunders, K.E.A., Bilderbeck, A.C., Geddes, J.R., Goodwin, G.M. and De Vos, M., · 2016
Cited alongside, same era.
Daily longitudinal self-monitoring of mood variability in bipolar disorder and borderline personality disorder
Reporting guidelines on remotely collected electronic mood data in mood disorder (eMOOD)—recommendations
Faurholt-Jepsen, M., Geddes, J.R., Goodwin, G.M., Bauer, M., Duffy, A., Kessing, L.V. and Saunders, K., · 2019
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Statistical analysis with missing data
Little, R.J. and Rubin, D.B., · 2019
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Rough paths, signatures and the modelling of functions on streams
Lyons, T., · 2019
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Using path signatures to predict a diagnosis of Alzheimer’s disease
Moore, P.J., Lyons, T.J., Gallacher, J. and Alzheimer’s Disease Neuroimaging Initiative, · 2019
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A Path Signature Approach for Speech Emotion Recognition
Wang, B., Liakata, M., Ni, H., Lyons, T., Nevado-Holgado, A.J. and Saunders, K., · 2019
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Tsanas, A., Saunders, K.E.A., Bilderbeck, A.C., Palmius, N., Osipov, M., Clifford, G.D., Goodwin, G.M. and De Vos, M., · 2016
Cited alongside, same era.
A signature-based machine learning model for distinguishing bipolar disorder and borderline personality disorder
Arribas, I.P., Goodwin, G.M., Geddes, J.R., Lyons, T. and Saunders, K.E., · 2018
Cited alongside, same era.
Sparse arrays of signatures for online character recognition
Graham, B.,
Cited in the paper.
Learning from the past, predicting the statistics for the future, learning an evolving system
Levin, D., Lyons, T. and Ni, H.,
Cited in the paper.
The iisignature library: efficient calculation of iterated-integral signatures and log signatures
Reizenstein, J. and Graham, B.,
Cited in the paper.
Leveraging the Path Signature for Skeleton-based Human Action Recognition
Yang, W., Lyons, T., Ni, H., Schmid, C., Jin, L., and Chang, J.,
Cited in the paper.
Forecasting Mood in Bipolar Disorder From Smartphone Self-assessments: Hierarchical Bayesian Approach
Busk, J., Faurholt-Jepsen, M., Frost, M., Bardram, J.E., Kessing, L.V. and Winther, O., · 2020
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The true colours remote symptom monitoring system: a decade of evolution
Goodday, S.M., Atkinson, L., Goodwin, G., Saunders, K., South, M., Mackay, C., Denis, M., Hinds, C., Attenburrow, M.J., Davies, J. and Welch, J., · 2020
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