title: MentalSquares: a generic bipolar Support Vector Machine for psychiatric disorder classification, diagnostic analysis and neurobiological data mining.
abstract: MentalSquares (MSQs)--an equilibrium-based dimensional approach is presented for the classification and diagnostic analysis of psychological conditions with Bipolar Disorders (BPDs) as an example. While a Support Vector Machine (SVM) is defined in Hilbert space. A MSQ can be considered as a generic SVM for improved classification. Different from the traditional categorical model of BPDs, the generic approach focuses on the balance of two poles of mental equilibrium. Preliminary results show that this new approach has a number of advantages over existing models. The generic model is analytically illustrated with public domain clinical examples and well-known empirical clinical knowledge. Its clinical and computerised operability is illustrated. Its potential of being a practical method for the classification and analysis of neurobiological patterns and drug effects is discussed.
authors.affiliation: Computer Science Department, Georgia Southern University, Statesboro, GA 30460, USA. wrzhang@georgiasouthern.edu
authors.forename: Wen-Ran
authors.initials: WR
authors.lastname: Zhang
authors.forename: Anand K
authors.initials: AK
authors.lastname: Pandurangi
authors.forename: Karl E
authors.initials: KE
authors.lastname: Peace
authors.forename: Yan-Qing
authors.initials: YQ
authors.lastname: Zhang
authors.forename: Zhongming
authors.initials: Z
authors.lastname: Zhao
mesh_terms: D001714:Bipolar Disorder / Q000175:diagnosis / Q000235:genetics; D057225:Data Mining / Q000379:methods*; D030541:Databases, Genetic; D006801:Humans; D001523:Mental Disorders / Q000145:classification* / Q000175:diagnosis* / Q000235:genetics; D009446:Neurobiology; D012559:Schizophrenia / Q000175:diagnosis / Q000235:genetics; D012984:Software; D060388:Support Vector Machine