Equilibrium-Based Bipolar Neurological Modeling

Wen-Rang Zhang; Anand K. Pandurangi; Karl E. Peace

Equilibrium-Based Bipolar Neurological Modeling

Wen-Rang Zhang
, Anand K. Pandurangi
, Karl E. Peace

Biostatistics, Epidemiology & Environmental Health Sciences

Research output: Contribution to conference › Presentation

Abstract

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

Original language	American English
State	Published - Sep 3 2006
Event	International Conference of the IEEE Engineering in Medicine and Biology Society - New York, NY Duration: Sep 3 2006 → …

Conference

Conference	International Conference of the IEEE Engineering in Medicine and Biology Society
Period	09/3/06 → …

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Disciplines

Biostatistics
Public Health

Keywords

Bipolar neurological modeling
Equilibrium-based

Cite this

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title = "Equilibrium-Based Bipolar Neurological Modeling",

abstract = " 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",

keywords = "Bipolar neurological modeling, Equilibrium-based",

author = "Wen-Rang Zhang and Pandurangi, \{Anand K.\} and Peace, \{Karl E.\}",

note = "This work introduces an equilibrium-based dynamic model for the characterization, classification, and diagnostic analysis of bipolar disorder, a psychiatri; International Conference of the IEEE Engineering in Medicine and Biology Society ; Conference date: 03-09-2006",

year = "2006",

month = sep,

day = "3",

language = "American English",

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TY - CONF

T1 - Equilibrium-Based Bipolar Neurological Modeling

AU - Zhang, Wen-Rang

AU - Pandurangi, Anand K.

AU - Peace, Karl E.

N1 - This work introduces an equilibrium-based dynamic model for the characterization, classification, and diagnostic analysis of bipolar disorder, a psychiatri

PY - 2006/9/3

Y1 - 2006/9/3

N2 - 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

AB - 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

KW - Bipolar neurological modeling

KW - Equilibrium-based

UR - https://ieeexplore.ieee.org/document/4462968/

M3 - Presentation

T2 - International Conference of the IEEE Engineering in Medicine and Biology Society

Y2 - 3 September 2006

ER -

Equilibrium-Based Bipolar Neurological Modeling

Abstract

Conference

UN SDGs

Disciplines

Keywords

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Cite this