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Asian Conference on Intelligent Information and Database Systems

ACIIDS 2020: Intelligent Information and Database Systems pp 593–601Cite as

Early Detection of Coronary Artery Diseases Using Endocrine Markers

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 12034))

Abstract

Cardiovascular diseases including coronary artery disease is the leading cause of death in the well developed and developing countries of the 21st century and has a higher rate of mortality and morbidity. Dysfunction of the pituitary, thyroid, and parathyroid glands caused cardio/cardiovascular diseases including changes in blood pressure, contractility of myocardium - systolic and diastolic myocardial functions, endothelial and dyslipidemia. Dysfunction of thyroid, parathyroid and adrenocorticotropic hormones caused imbalance of endocrine system such as hyper and hypo function, effects on pathophysiology of the cardiovascular system.

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Acknowledgements

This study was supported by the Scientific Research from Technical University of Technology Sydney, School of Electrical and Data Engineering and DIVE IN AI.

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Authors and Affiliations

  1. School of Electrical and Data Engineering, University of Technology Sydney, Ultimo, Australia

    Felician Jonathan More & Zenon Chaczko

  2. DIVE IN AI, Wroclaw, Poland

    Zenon Chaczko & Julita Kulbacka

  3. Faculty of Pharmacy, Department of Molecular and Cellular Biology, Wroclaw Medical University, Wroclaw, Poland

    Julita Kulbacka

Authors
  1. Felician Jonathan More
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  2. Zenon Chaczko
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  3. Julita Kulbacka
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Corresponding author

Correspondence to Julita Kulbacka .

Editor information

Editors and Affiliations

  1. Department of Applied Informatics, Wrocław University of Science and Technology, Wrocław, Poland

    Ngoc Thanh Nguyen

  2. King Mongkut’s Institute of Technology Ladkrabang, Bangkok, Thailand

    Kietikul Jearanaitanakij

  3. Faculty of Computer Science and Information, University Teknologi Malaysia, Kuala Lumpur, Malaysia

    Ali Selamat

  4. Department of Applied Informatics, Wrocław University of Science and Technology, Wrocław, Poland

    Bogdan Trawiński

  5. King Mongkut’s Institute of Technology Ladkrabang, Bangkok, Thailand

    Suphamit Chittayasothorn

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Cite this paper

More, F.J., Chaczko, Z., Kulbacka, J. (2020). Early Detection of Coronary Artery Diseases Using Endocrine Markers. In: Nguyen, N., Jearanaitanakij, K., Selamat, A., Trawiński, B., Chittayasothorn, S. (eds) Intelligent Information and Database Systems. ACIIDS 2020. Lecture Notes in Computer Science(), vol 12034. Springer, Cham. https://doi.org/10.1007/978-3-030-42058-1_50

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  • DOI: https://doi.org/10.1007/978-3-030-42058-1_50

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-42057-4

  • Online ISBN: 978-3-030-42058-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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