title: Mining the hidden dysrhythmia - can machines get smarter at defining the anaesthetised state?
authors.affiliation: Tokyo Medical and Dental University Hospital of Medicine, Bunkyo City, Tokyo, Japan. jkmane@tmd.ac.jp.
authors.forename: J
authors.initials: J
authors.lastname: Kurata
mesh_terms: D000465:Algorithms; D000768:Anesthesia, General / Q000009:adverse effects*; D001145:Arrhythmias, Cardiac / Q000209:etiology*; D004562:Electrocardiography; D004569:Electroencephalography; D006801:Humans; D012677:Sensation