國立高雄大學圖資館 |

Computerized systems for diagnosis and treatment of COVID-19

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Computerized systems for diagnosis and treatment of COVID-19edited by Joao Alexandre Lobo Marques, Simon James Fong.
其他作者:	Marques, Joao Alexandre Lobo.
出版者:	Cham :Springer International Publishing :2023.
面頁冊數:	vi, 209 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	COVID-19 (Disease)Diagnosis
電子資源:	https://doi.org/10.1007/978-3-031-30788-1
ISBN:	9783031307881$q(electronic bk.)

Computerized systems for diagnosis and treatment of COVID-19
Computerized systems for diagnosis and treatment of COVID-19[electronic resource] /edited by Joao Alexandre Lobo Marques, Simon James Fong. - Cham :Springer International Publishing :2023. - vi, 209 p. :ill., digital ;24 cm.

Clinical 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.

This 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.

ISBN: 9783031307881$q(electronic bk.)

Standard No.: 10.1007/978-3-031-30788-1doiSubjects--Topical Terms:

955711
COVID-19 (Disease)
--Diagnosis

LC Class. No.: RA644.C67 / C66 2023

Dewey Class. No.: 616.24144

Computerized systems for diagnosis and treatment of COVID-19
LDR:02831nmm a2200325 a 4500 001 646679
003 DE-He213
005 20230626211319.0
006 m d
007 cr nn 008maaau
008 240116s2023 sz s 0 eng d
020 $a 9783031307881$q(electronic bk.)
020 $a 9783031307874$q(paper)
024 7 $a 10.1007/978-3-031-30788-1 $2 doi
035 $a 978-3-031-30788-1
040 $a GP $c GP
041 0 $a eng
050 4 $a RA644.C67 $b C66 2023
072 7 $a MQW $2 bicssc
072 7 $a TEC059000 $2 bisacsh
072 7 $a MQW $2 thema
082 0 4 $a 616.24144 $2 23
090 $a RA644.C67 $b C738 2023
245 0 0 $a Computerized systems for diagnosis and treatment of COVID-19 $h [electronic resource] / $c edited by Joao Alexandre Lobo Marques, Simon James Fong.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2023.
300 $a vi, 209 p. : $b ill., digital ; $c 24 cm.
505 0 $a Clinical 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 $a This 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 $a COVID-19 (Disease) $x Diagnosis $x Data processing. $3 955711
650 0 $a COVID-19 (Disease) $x Treatment $x Technological innovations. $3 937467
650 0 $a Artificial intelligence $x Medical applications. $3 237917
650 1 4 $a Biomedical Engineering and Bioengineering. $3 826326
650 2 4 $a Therapeutics. $3 218144
650 2 4 $a Diagnosis. $3 192756
650 2 4 $a Diseases. $3 276053
650 2 4 $a Bioanalysis and Bioimaging. $3 925493
700 1 $a Marques, Joao Alexandre Lobo. $3 888509
700 1 $a Fong, Simon. $3 515745
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-3-031-30788-1
950 $a Biomedical and Life Sciences (SpringerNature-11642)