Diagnosing Neurally Mediated Syncope Using Classification Techniques

Syncope is a medical condition resulting in the spontaneous transient loss of consciousness and postural tone with spontaneous recovery. The diagnosis of syncope is a challenging task, as similar types of symptoms are observed in seizures, vertigo, stroke, coma, etc. The advent of Healthcare 4.0, wh...

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Autores principales:	Shahadat Hussain, Zahid Raza, T V Vijay Kumar, Nandu Goswami
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	neuro mediated syncope classification machine learning head-up tilt (HUT) test Medicine R
Acceso en línea:	https://doaj.org/article/898a308bf7884725ac5a489e0616fdae
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spelling	oai:doaj.org-article:898a308bf7884725ac5a489e0616fdae2021-11-11T17:38:49ZDiagnosing Neurally Mediated Syncope Using Classification Techniques10.3390/jcm102150162077-0383https://doaj.org/article/898a308bf7884725ac5a489e0616fdae2021-10-01T00:00:00Zhttps://www.mdpi.com/2077-0383/10/21/5016https://doaj.org/toc/2077-0383Syncope is a medical condition resulting in the spontaneous transient loss of consciousness and postural tone with spontaneous recovery. The diagnosis of syncope is a challenging task, as similar types of symptoms are observed in seizures, vertigo, stroke, coma, etc. The advent of Healthcare 4.0, which facilitates the usage of artificial intelligence and big data, has been widely used for diagnosing various diseases based on past historical data. In this paper, classification-based machine learning is used to diagnose syncope based on data collected through a head-up tilt test carried out in a purely clinical setting. This work is concerned with the use of classification techniques for diagnosing neurally mediated syncope triggered by a number of neurocardiogenic or cardiac-related factors. Experimental results show the effectiveness of using classification-based machine learning techniques for an early diagnosis and proactive treatment of neurally mediated syncope.Shahadat HussainZahid RazaT V Vijay KumarNandu GoswamiMDPI AGarticleneuro mediated syncopeclassificationmachine learninghead-up tilt (HUT) testMedicineRENJournal of Clinical Medicine, Vol 10, Iss 5016, p 5016 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	neuro mediated syncope classification machine learning head-up tilt (HUT) test Medicine R
spellingShingle	neuro mediated syncope classification machine learning head-up tilt (HUT) test Medicine R Shahadat Hussain Zahid Raza T V Vijay Kumar Nandu Goswami Diagnosing Neurally Mediated Syncope Using Classification Techniques
description	Syncope is a medical condition resulting in the spontaneous transient loss of consciousness and postural tone with spontaneous recovery. The diagnosis of syncope is a challenging task, as similar types of symptoms are observed in seizures, vertigo, stroke, coma, etc. The advent of Healthcare 4.0, which facilitates the usage of artificial intelligence and big data, has been widely used for diagnosing various diseases based on past historical data. In this paper, classification-based machine learning is used to diagnose syncope based on data collected through a head-up tilt test carried out in a purely clinical setting. This work is concerned with the use of classification techniques for diagnosing neurally mediated syncope triggered by a number of neurocardiogenic or cardiac-related factors. Experimental results show the effectiveness of using classification-based machine learning techniques for an early diagnosis and proactive treatment of neurally mediated syncope.
format	article
author	Shahadat Hussain Zahid Raza T V Vijay Kumar Nandu Goswami
author_facet	Shahadat Hussain Zahid Raza T V Vijay Kumar Nandu Goswami
author_sort	Shahadat Hussain
title	Diagnosing Neurally Mediated Syncope Using Classification Techniques
title_short	Diagnosing Neurally Mediated Syncope Using Classification Techniques
title_full	Diagnosing Neurally Mediated Syncope Using Classification Techniques
title_fullStr	Diagnosing Neurally Mediated Syncope Using Classification Techniques
title_full_unstemmed	Diagnosing Neurally Mediated Syncope Using Classification Techniques
title_sort	diagnosing neurally mediated syncope using classification techniques
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/898a308bf7884725ac5a489e0616fdae
work_keys_str_mv	AT shahadathussain diagnosingneurallymediatedsyncopeusingclassificationtechniques AT zahidraza diagnosingneurallymediatedsyncopeusingclassificationtechniques AT tvvijaykumar diagnosingneurallymediatedsyncopeusingclassificationtechniques AT nandugoswami diagnosingneurallymediatedsyncopeusingclassificationtechniques
_version_	1718432074607624192

Diagnosing Neurally Mediated Syncope Using Classification Techniques

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