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A signature-based machine learning model for distinguishing bipolar disorder and borderline personality disorder
(2018)
Mobile technologies offer new opportunities for prospective, high resolution monitoring of long-term health
conditions. The opportunities seem of particular promise in psychiatry where diagnoses often rely on retrospective
and ...
Characterizing Affective Variability in Bipolar Disorder and Borderline Personality Disorder, and the Effects of Lithium, Using a Generative Model of Affect
(2022-02)
The affective variability of Bipolar Disorder (BD) is thought to qualitatively differ from that of Borderline Personality Disorder (BPD), with changes in affect persisting for longer in BD. However, quantitative studies ...