A cognitive temporal-causal network model of hormone therapy

S. Sahand Mohammadi Ziabari

doi:10.1007/978-3-030-28377-3_54

A cognitive temporal-causal network model of hormone therapy

S. Sahand Mohammadi Ziabari^*

^*Corresponding author for this work

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

Abstract

In this paper, the effect of using sex hormones such as estrogen and producing this hormone in the body using cognitive, biological temporal-causal network model is presented. Reviewing neuroscience pieces of literature about hormone therapy shows the effect of estrogen on some brain components such as basolateral Amygdala, ventromedial Prefrontal Cortex, Hippocampus and resulting in decreasing the extreme emotion. This finding shows that for postnatal depression transdermal estrogen is an effective treatment. Moreover, the presented model integrates the cognitive, biological and effective principle of neuroscience.

Original language	English
Title of host publication	Computational Collective Intelligence
Subtitle of host publication	11th International Conference, ICCCI 2019 Hendaye, France, September 4–6, 2019, Proceedings - Part I
Editors	Ngoc Thanh Nguyen, Richard Chbeir, Ernesto Exposito, Philippe Aniorté, Bogdan Trawinski, Ngoc Thanh Nguyen
Publisher	Springer Verlag
Pages	650-660
Number of pages	11
Volume	1
ISBN (Electronic)	9783030283773
ISBN (Print)	9783030283766
DOIs	https://doi.org/10.1007/978-3-030-28377-3_54
Publication status	Published - 2019
Event	11th International Conference on Computational Collective Intelligence, ICCCI 2019 - Hendaye, France Duration: 4 Sep 2019 → 6 Sep 2019

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	11683 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	11th International Conference on Computational Collective Intelligence, ICCCI 2019
Country	France
City	Hendaye
Period	4/09/19 → 6/09/19

Keywords

Cognitive temporal-causal network model
Extreme emotion
Hebbian learning
Hormone therapy

Access to Document

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Mohammadi Ziabari, S. S. (2019). A cognitive temporal-causal network model of hormone therapy. In N. T. Nguyen, R. Chbeir, E. Exposito, P. Aniorté, B. Trawinski, & N. T. Nguyen (Eds.), Computational Collective Intelligence: 11th International Conference, ICCCI 2019 Hendaye, France, September 4–6, 2019, Proceedings - Part I (Vol. 1, pp. 650-660). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11683 LNAI). Springer Verlag. https://doi.org/10.1007/978-3-030-28377-3_54

Mohammadi Ziabari, S. Sahand. / A cognitive temporal-causal network model of hormone therapy. Computational Collective Intelligence: 11th International Conference, ICCCI 2019 Hendaye, France, September 4–6, 2019, Proceedings - Part I. editor / Ngoc Thanh Nguyen ; Richard Chbeir ; Ernesto Exposito ; Philippe Aniorté ; Bogdan Trawinski ; Ngoc Thanh Nguyen. Vol. 1 Springer Verlag, 2019. pp. 650-660 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "In this paper, the effect of using sex hormones such as estrogen and producing this hormone in the body using cognitive, biological temporal-causal network model is presented. Reviewing neuroscience pieces of literature about hormone therapy shows the effect of estrogen on some brain components such as basolateral Amygdala, ventromedial Prefrontal Cortex, Hippocampus and resulting in decreasing the extreme emotion. This finding shows that for postnatal depression transdermal estrogen is an effective treatment. Moreover, the presented model integrates the cognitive, biological and effective principle of neuroscience.",

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Mohammadi Ziabari, SS 2019, A cognitive temporal-causal network model of hormone therapy. in NT Nguyen, R Chbeir, E Exposito, P Aniorté, B Trawinski & NT Nguyen (eds), Computational Collective Intelligence: 11th International Conference, ICCCI 2019 Hendaye, France, September 4–6, 2019, Proceedings - Part I. vol. 1, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11683 LNAI, Springer Verlag, pp. 650-660, 11th International Conference on Computational Collective Intelligence, ICCCI 2019, Hendaye, France, 4/09/19. https://doi.org/10.1007/978-3-030-28377-3_54

A cognitive temporal-causal network model of hormone therapy. / Mohammadi Ziabari, S. Sahand.

Computational Collective Intelligence: 11th International Conference, ICCCI 2019 Hendaye, France, September 4–6, 2019, Proceedings - Part I. ed. / Ngoc Thanh Nguyen; Richard Chbeir; Ernesto Exposito; Philippe Aniorté; Bogdan Trawinski; Ngoc Thanh Nguyen. Vol. 1 Springer Verlag, 2019. p. 650-660 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11683 LNAI).

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

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AB - In this paper, the effect of using sex hormones such as estrogen and producing this hormone in the body using cognitive, biological temporal-causal network model is presented. Reviewing neuroscience pieces of literature about hormone therapy shows the effect of estrogen on some brain components such as basolateral Amygdala, ventromedial Prefrontal Cortex, Hippocampus and resulting in decreasing the extreme emotion. This finding shows that for postnatal depression transdermal estrogen is an effective treatment. Moreover, the presented model integrates the cognitive, biological and effective principle of neuroscience.

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Mohammadi Ziabari SS. A cognitive temporal-causal network model of hormone therapy. In Nguyen NT, Chbeir R, Exposito E, Aniorté P, Trawinski B, Nguyen NT, editors, Computational Collective Intelligence: 11th International Conference, ICCCI 2019 Hendaye, France, September 4–6, 2019, Proceedings - Part I. Vol. 1. Springer Verlag. 2019. p. 650-660. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-030-28377-3_54