Equilibrium-Based Bipolar Neurological Modeling

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

doi:10.1109/IEMBS.2006.259424

Equilibrium-Based Bipolar Neurological Modeling

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

Biostatistics, Epidemiology & Environmental Health Sciences

Research output: Contribution to book or proceeding › Conference article › peer-review

3 Scopus citations

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
Title of host publication	Proceedings of the International Conference of the IEEE Engineering in Medicine and Biology Society
DOIs	https://doi.org/10.1109/IEMBS.2006.259424
State	Published - Aug 1 2006

Publication series

Name	Proceedings of the International Conference of the IEEE Engineering in Medicine and Biology Society

Disciplines

Biostatistics
Community Health
Public Health

Keywords

Bipolar neurological modeling
Equilibrium-based

UN SDGs

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

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10.1109/IEMBS.2006.259424License: Unspecified

https://doi.org/10.1109/IEMBS.2006.259424

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",

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Equilibrium-Based Bipolar Neurological Modeling. / Zhang, Wen-Ran; Pandurangi, Anand K.; Peace, Karl E.
Proceedings of the International Conference of the IEEE Engineering in Medicine and Biology Society. 2006. (Proceedings of the International Conference of the IEEE Engineering in Medicine and Biology Society).

Research output: Contribution to book or proceeding › Conference article › peer-review

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AU - Pandurangi, Anand K.

AU - Peace, Karl E.

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PY - 2006/8/1

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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

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UR - https://doi.org/10.1109/IEMBS.2006.259424

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DO - 10.1109/IEMBS.2006.259424

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AN - SCOPUS:34047189784

T3 - Proceedings of the International Conference of the IEEE Engineering in Medicine and Biology Society

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

ER -

Equilibrium-Based Bipolar Neurological Modeling

Abstract

Publication series

Disciplines

Keywords

UN SDGs

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