Computerized Systems for Diagnosis and Treatment of COVID-19

2023
ISBN: 978-3-031-30787-4
Verlag: Springer International Publishing

Buch, Englisch, 209 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 533 g

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 virusinfection 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.

Zielgruppe

Research

Autoren/Hrsg.

Fong, Simon James

Lobo Marques, Joao Alexandre

Fachgebiete

• Sozialwissenschaften Psychologie Psychotherapie / Klinische Psychologie Verhaltenstherapie
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Public Health, Gesundheitsmanagement, Gesundheitsökonomie, Gesundheitspolitik
• Naturwissenschaften Physik Angewandte Physik Biophysik
• Naturwissenschaften Biowissenschaften Angewandte Biologie Biophysik
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizintechnik, Biomedizintechnik, Medizinische Werkstoffe
• Technische Wissenschaften Sonstige Technologien | Angewandte Technik Medizintechnik, Biomedizintechnik

Inhaltsverzeichnis

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.

Über Autor(innen)

Prof. Joao Alexandre Lobo Marques is the Head of Department / Research Coordinator / Associate Professor at the University of Saint Joseph - USJ, Macau SAR, China (2017-). Co-founder Institute of Data Engineering and Sciences (IDEAS)/USJ – 2021. Founder of the Laboratory of Applied Neurosciences/USJ – 2019. Adjunct Professor – Post Graduate Program of Telecommunications Engineering – IFCE – Brazil. Visiting Associate Professor at the Chinese Academy of Sciences (CAS) - Shenzhen Institutes of Advanced Technologies (SIAT) (2018-). Post Doctorate and Honorary Research Fellow from the University of Leicester-UK. Member of the Board of Advisors - Master in Global Marketing Management - Boston University Metropolitan College (BU-MET) – USA. Solid international career with academic positions and relevant research developed in Asia (China), Europe (England, Germany and Portugal), Africa (Angola) and America (United States and Brazil). Strong leadership and team development skills in severalinternational research projects. Research Areas: Artificial Intelligence, Medical Image Processing, Machine Learning, Applied Neurosciences, Deep Learning, Neuroeconomics, Biofeedback, Mathematical Transforms, Business Analytics, Nonlinear Analysis.