Early Detection of Coronary Artery Diseases Using Endocrine Markers

More, FJ; Chaczko, Z; Kulbacka, J

Early Detection of Coronary Artery Diseases Using Endocrine Markers

More, FJ Chaczko, Z

Kulbacka, J

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Publisher:: Springer
Publication Type:: Conference Proceeding
Citation:: Intelligent Information and Database Systems, 2020, 12034, pp. 593-601
Issue Date:: 2020-01-01

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Field	Value	Language
dc.contributor.author	More, FJ
dc.contributor.author	Chaczko, Z https://orcid.org/0000-0002-2816-7510
dc.contributor.author	Kulbacka, J
dc.contributor.editor	Nguyen, NT
dc.contributor.editor	Jearanaitanakij, K
dc.contributor.editor	Selamat, A
dc.contributor.editor	Trawinski, B
dc.contributor.editor	Chittayasothorn, S
dc.date	2020-03-23
dc.date.accessioned	2021-05-05T04:11:07Z
dc.date.available	2021-05-05T04:11:07Z
dc.date.issued	2020-01-01
dc.identifier.citation	Intelligent Information and Database Systems, 2020, 12034, pp. 593-601
dc.identifier.isbn	9783030420574
dc.identifier.issn	0302-9743
dc.identifier.issn	1611-3349
dc.identifier.uri	http://hdl.handle.net/10453/148691
dc.description.abstract	© 2020, Springer Nature Switzerland AG. 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.
dc.language	en
dc.publisher	Springer
dc.relation.ispartof	Intelligent Information and Database Systems
dc.relation.ispartof	Asian Conference on Intelligent Information and Database Systems
dc.relation.ispartofseries	Lecture Notes in Computer Science
dc.relation.isbasedon	10.1007/978-3-030-42058-1_50
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject.classification	Artificial Intelligence & Image Processing
dc.title	Early Detection of Coronary Artery Diseases Using Endocrine Markers
dc.type	Conference Proceeding
utslib.citation.volume	12034
utslib.location.activity	Phuket, Thailand
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - INEXT - Innovation in IT Services and Applications
pubs.organisational-group	/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Biomedical Engineering
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
utslib.copyright.status	closed_access	*
pubs.consider-herdc	false
dc.date.updated	2021-05-05T04:11:06Z
pubs.finish-date	2020-03-26
pubs.place-of-publication	Singapore
pubs.publication-status	Published
pubs.start-date	2020-03-23
pubs.volume	12034
dc.location	Singapore

Abstract:

© 2020, Springer Nature Switzerland AG. 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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http://hdl.handle.net/10453/148691