Equilibrium-Based Bipolar Neurological Modeling
Equilibrium-Based Bipolar Neurological Modeling
This work introduces an equilibrium-based dynamic model for the characterization, classification, and diagnostic analysis of bipolar disorder, a psychiatric syndrome with manic and depressive phases. The new model extends the traditional spectrum model of mood states from a static and closed world to a dynamic open-world of equilibria with a bipolar universal modus ponens (BUMP). The utility of the new model is illustrated in diagnostic analysis of depression and clinical psychopharmacology of different phases of this disorder.
- Virginia Commonwealth University United States
- University System of Georgia United States
- College of Information Technology
- Georgia Southern University United States
Psychiatric Status Rating Scales, Bipolar Disorder, Models, Neurological, Biostatistics, Models, Theoretical, Equilibrium-based, Fuzzy Logic, Psychotic Disorders, Oscillometry, Humans, Community Health, Computer Simulation, Public Health, Diagnosis, Computer-Assisted, Bipolar neurological modeling, Algorithms, Software
Psychiatric Status Rating Scales, Bipolar Disorder, Models, Neurological, Biostatistics, Models, Theoretical, Equilibrium-based, Fuzzy Logic, Psychotic Disorders, Oscillometry, Humans, Community Health, Computer Simulation, Public Health, Diagnosis, Computer-Assisted, Bipolar neurological modeling, Algorithms, Software
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