A signature-based machine learning model for distinguishing bipolar disorder and borderline personality disorder
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 subjective recall of mood states. However, deriving clinically meaningful...
Main Authors: | Arribas, I, Goodwin, G, Geddes, J, Lyons, T, Saunders, K |
---|---|
Format: | Journal article |
Published: |
Springer Nature
2018
|
Similar Items
-
Distinguishing bipolar disorder from borderline personality disorder
by: Saunders, K, et al.
Published: (2013) -
Distinguishing bipolar disorder from borderline personality disorder: A study of current clinical practice
by: Saunders, K, et al.
Published: (2015) -
Distinguishing bipolar disorder and borderline personality disorder: an exploration of clinical and neuroscience informed approaches
by: Saunders, K
Published: (2014) -
Desynchronization of diurnal rhythms in bipolar disorder and borderline personality disorder
by: Carr, O, et al.
Published: (2018) -
Circadian rest-activity patterns in bipolar disorder and borderline personality disorder
by: McGowan, N, et al.
Published: (2019)