Journal article
A Machine Learning Approach Using Effective Connectivity to Predict Response to Clozapine Treatment
Abstract
Clozapine is an anti-psychotic drug that is known to be effective in the treatment of patients with chronic treatment-resistant schizophrenia (TRS-SCZ), commonly estimated to be around one third of all cases. However, clinicians sometimes delay the initiation of this drug because of its adverse side-effects. Therefore, identification of predictive biological markers of clozapine response are extremely valuable to aid on-time initiation of …
Authors
Ciprian C; Masychev K; Ravan M; Reilly JP; Maccrimmon D
Journal
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol. 28, No. 12, pp. 2598–2607
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Publication Date
December 2020
DOI
10.1109/tnsre.2020.3019685
ISSN
1534-4320