TY - BOOK ID - 119319339 TI - Computerized Systems for Diagnosis and Treatment of COVID-19 AU - Lobo Marques, Joao Alexandre. AU - Fong, Simon James. PY - 2023 SN - 3031307887 3031307879 PB - Cham : Springer International Publishing : Imprint: Springer, DB - UniCat KW - Biomedical engineering. KW - Therapeutics. KW - Diagnosis. KW - Diseases. KW - Biophysics. KW - Biomedical Engineering and Bioengineering. KW - Bioanalysis and Bioimaging. KW - Biological physics KW - Biology KW - Medical sciences KW - Physics KW - Human beings KW - Illness KW - Illnesses KW - Morbidity KW - Sickness KW - Sicknesses KW - Medicine KW - Epidemiology KW - Health KW - Pathology KW - Sick KW - Diseases KW - Examinations, Medical (Diagnosis) KW - Medical diagnosis KW - Medical examinations (Diagnosis) KW - Medical tests (Diagnosis) KW - Clinical medicine KW - Prognosis KW - Symptoms KW - Medical treatment KW - Therapy KW - Treatment of diseases KW - Treatments for diseases KW - Clinical engineering KW - Medical engineering KW - Bioengineering KW - Biophysics KW - Engineering KW - Diagnosis KW - Testing UR - https://www.unicat.be/uniCat?func=search&query=sysid:119319339 AB - 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. ER -