title: A pilot study to determine whether machine learning methodologies using pre-treatment electroencephalography can predict the symptomatic response to clozapine therapy.
authors.affiliation: Electrical and Computer Eng. Dept., McMaster University, Hamilton, ON, Canada.
authors.forename: Ahmad
authors.initials: A
authors.lastname: Khodayari-Rostamabad
authors.forename: Gary M
authors.initials: GM
authors.lastname: Hasey
authors.forename: Duncan J
authors.initials: DJ
authors.lastname: Maccrimmon
authors.forename: James P
authors.initials: JP
authors.lastname: Reilly
authors.forename: Hubert
authors.initials: H
authors.lastname: de Bruin
mesh_terms: D000328:Adult; D014150:Antipsychotic Agents / Q000627:therapeutic use*; D001185:Artificial Intelligence; D003024:Clozapine / Q000627:therapeutic use*; D004192:Discrimination, Psychological; D004569:Electroencephalography / Q000379:methods*; D005260:Female; D005500:Follow-Up Studies; D006801:Humans; D008297:Male; D008875:Middle Aged; D010865:Pilot Projects; D011237:Predictive Value of Tests; D011569:Psychiatric Status Rating Scales; D015203:Reproducibility of Results; D012559:Schizophrenia / Q000188:drug therapy* / Q000503:physiopathology; D012680:Sensitivity and Specificity; D016896:Treatment Outcome
chemical_list: D014150:Antipsychotic Agents; D003024:Clozapine