000			03587nam a22005055i 4500
001			978-3-031-30788-1
003			DE-He213
005			20240729140104.0
007			cr nn 008mamaa
008			230626s2023 sz | s |||| 0|eng d
020			_a9783031307881 _9978-3-031-30788-1
024	7		_a10.1007/978-3-031-30788-1 _2doi
072		7	_aMQW _2bicssc
072		7	_aTEC059000 _2bisacsh
072		7	_aMQW _2thema
245	1	0	_aComputerized Systems for Diagnosis and Treatment of COVID-19
250			_a1st ed. 2023.
264		1	_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2023.
300			_aVI, 209 p. 91 illus., 67 illus. in color. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
505	0		_aClinical impact of automatic diagnostic systems -- Lung segmentation from XRay -- Lung segmentation from CT Scan -- Covid Automatic Diagnostic based on XRay -- Covid Automatic Diagnostic based on CTScan -- Cardiovascular analysis of covid patients based on ECG -- Cognitive analysis of covid patients based on EEG -- AI Controlled Mechanical Ventilator for COVID-19 patients.
520			_aThis book describes the application of signal and image processing technologies, artificial intelligence, and machine learning techniques to support Covid-19 diagnosis and treatment. The book focuses on two main applications: critical diagnosis requiring high precision and speed, and treatment of symptoms, including those affecting the cardiovascular and neurological systems. The areas discussed in this book range from signal processing, time series analysis, and image segmentation to detection and classification. Technical approaches include deep learning, transfer learning, transformers, AutoML, and other machine learning techniques that can be considered not only for Covid-19 issues but also for different medical applications, with slight adjustments to the problem under study. The Covid-19 pandemic has impacted the entire world and changed how societies and individuals interact. Due to the high infection and mortality rates, and the multiple consequences of the virus infection in the human body, the challenges were vast and enormous. These necessitated the integration of different disciplines to address the problems. As a global response, researchers across academia and industry made several developments to provide computational solutions to support epidemiologic, managerial, and health/medical decisions. To that end, this book provides state-of-the-art information on the most advanced solutions.
650		0	_aBiomedical engineering. _95387
650		0	_aTherapeutics.
650		0	_aDiagnosis.
650		0	_aDiseases.
650		0	_aBiophysics. _95390
650	1	4	_aBiomedical Engineering and Bioengineering.
650	2	4	_aTherapeutics.
650	2	4	_aDiagnosis.
650	2	4	_aDiseases.
650	2	4	_aBioanalysis and Bioimaging.
700	1		_aLobo Marques, Joao Alexandre. _eeditor. _0(orcid)0000-0002-6472-8784 _1https://orcid.org/0000-0002-6472-8784 _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aFong, Simon James. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
710	2		_aSpringerLink (Online service)
856			_u#gotoholdings _yAccess resource
912			_aZDB-2-SBL
912			_aZDB-2-SXB
245			_h[E-Book]
999			_c103574 _d103574