Computerized Systems for Diagnosis and Treatment of Covid-19

Lobo Marques, Joao Alexandre, Fong, Simon James

Computerized Systems for Diagnosis and Treatment of Covid-19
  • 出版商: Springer
  • 出版日期: 2024-06-28
  • 售價: $7,050
  • 貴賓價: 9.5 折 $6,698
  • 語言: 英文
  • 頁數: 209
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 3031307909
  • ISBN-13: 9783031307904

    • 海外代購書籍(需單獨結帳)

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商品描述

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.

作者簡介

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.

作者簡介(中文翻譯)

喬奧·亞歷山大·洛博·馬爾基斯教授是澳門聖若瑟大學（University of Saint Joseph - USJ）系主任、研究協調員及副教授（2017年至今）。他是數據工程與科學研究所（Institute of Data Engineering and Sciences, IDEAS）/USJ的共同創辦人（2021年），並於2019年創立了應用神經科學實驗室（Laboratory of Applied Neurosciences/USJ）。他還擔任巴西IFCE的電信工程研究生課程的兼任教授，以及中國科學院（CAS）深圳先進技術研究院（SIAT）的訪問副教授（2018年至今）。他擁有英國萊斯特大學的博士後及榮譽研究員資格。並且是美國波士頓大學都市學院（Boston University Metropolitan College, BU-MET）全球行銷管理碩士課程的顧問委員會成員。他在亞洲（中國）、歐洲（英國、德國和葡萄牙）、非洲（安哥拉）和美洲（美國和巴西）擁有穩固的國際職業生涯，並在多個國際研究項目中展現出強大的領導力和團隊發展能力。研究領域包括：人工智慧、醫學影像處理、機器學習、應用神經科學、深度學習、神經經濟學、生物回饋、數學變換、商業分析及非線性分析。

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