Intelligent Computing Applications for Covid-19: Predictions, Diagnosis, and Prevention
暫譯: 新冠疫情智能計算應用：預測、診斷與預防

Saba, Tanzila, Khan, Amjad Rehman

Intelligent Computing Applications for Covid-19: Predictions, Diagnosis, and Prevention
  • 出版商: CRC
  • 出版日期: 2021-09-08
  • 售價: $6,090
  • 貴賓價: 9.5 折 $5,786
  • 語言: 英文
  • 頁數: 344
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 0367692473
  • ISBN-13: 9780367692476

    • 海外代購書籍(需單獨結帳)

商品描述

Accurate estimation, diagnosis, and prevention of COVID-19 is a global challenge for healthcare organizations. Innovative measures can introduce and implement AI, and Mathematical Modeling applications. This book provides insight into the recent advances of applications, statistical methods, and mathematical modeling for the healthcare industry.

This book covers the state-of-the-art applications of AI and Machine Learning in past epidemics, pandemics, and COVID-19. It offers recent global case studies, and discusses how AI and statistical methods, initiatives, and applications such as Machine Learning, Deep Learning, Correlation and Regression Analysis play a major role in the prediction, diagnosis, and prevention of a pandemic. It will also focus on how AI and statistical applications can facilitate and restructure the healthcare system.

This book is written for Researchers, Students, Professionals, Executives, and the general public.

商品描述(中文翻譯)

準確的估算、診斷和預防 COVID-19 是全球醫療保健組織面臨的挑戰。創新的措施可以引入並實施人工智慧 (AI) 和數學建模應用。本書提供了有關醫療保健行業應用、統計方法和數學建模的最新進展的見解。

本書涵蓋了人工智慧 (AI) 和機器學習在過去的流行病、大流行和 COVID-19 中的最先進應用。它提供了最近的全球案例研究，並討論了人工智慧和統計方法、倡議及應用（如機器學習、深度學習、相關性和回歸分析）在預測、診斷和預防大流行中的重要角色。本書還將重點介紹人工智慧和統計應用如何促進和重構醫療保健系統。

本書是為研究人員、學生、專業人士、高管以及一般公眾而寫的。

作者簡介

Tanzila Saba earned her PhD in document information security and management from Faculty of Computing, UniversitiTeknologi Malaysia (UTM), Malaysia in 2012. She won the best student award in the School of Computing UTM for 2012. Currently, she is serving as an Associate Chair of Information Systems Department in the College of Computer and Information Sciences Prince Sultan University Riyadh KSA. Her primary research focus in recent years is Medical Imaging, Pattern Recognition, Data Mining, MRI analysis, and Soft-computing. She has above two hundred publications that have above 5000 citations. Her mostly publications are in biomedical research published in ISI/SCIE indexed. Due to her excellent research achievement, she is included in Marquis Who's Who (S & T) 2012. Currently, she is an editor and reviewer of reputed journals and on the panel of TPC of international conferences. She led several funded research projects as a PI. She has full command of a variety of subjects and taught several courses at the graduate and postgraduate levels. On the accreditation side, she is a skilled lady with ABET& NCAAA quality assurance. She is the senior member of IEEE. Dr.Tanzila is the leader of the Artificial Intelligence& Data Analytics Research Lab at PSU and active professional members of ACM, AIS and IAENG organizations. She is the PSU WiDS (Women in Data Science) ambassador at Stanford University and Global WomenTech Conference. She earned the Best Researcher award at PSU for consecutive 4 years. She has been nominated as a Research Professor at PSU since September 2019.

Amjad Rehman Khan is a Senior Researcher in the Artificial Intelligence & Data Analytics Lab, Prince Sultan University, Riyadh, Saudi Arabia. He earned PhD & Postdoc from School of Computing Universiti Teknologi Malaysia, Malaysia specialization in Forensic Documents Analysis and Security with honor in 2010 and 2011 respectively. He received Rector award 2010 for best student in the university. His keen interests are in Data Mining, Health Informatics, Pattern Recognition. He is author of more than 200 ISI journal papers, conferences and is a senior member of IEEE. Currently, he is PI in several funded projects and also completed projects funded from MOHE Malaysia, Saudi Arabia.

作者簡介(中文翻譯)

Tanzila Saba於2012年在馬來西亞科技大學（Universiti Teknologi Malaysia, UTM）計算機學院獲得文件資訊安全與管理的博士學位。她在2012年獲得UTM計算機學院的最佳學生獎。她目前擔任沙烏地阿拉伯利雅德王子蘇丹大學（Prince Sultan University）資訊系的副系主任。近年來，她的主要研究重點是醫學影像、模式識別、資料挖掘、MRI分析和軟計算。她的出版物超過兩百篇，引用次數超過5000次。她的大部分出版物均為發表在ISI/SCIE索引的生物醫學研究。由於她卓越的研究成就，她於2012年被列入《馬奎斯誰是誰》（Marquis Who's Who, S & T）。目前，她是多本知名期刊的編輯和審稿人，並參與國際會議的技術程序委員會（TPC）。她作為主要研究者（PI）領導了幾個資助的研究項目。她對多個學科有全面的掌握，並在研究生和碩士生層級教授多門課程。在認證方面，她擁有ABET和NCAAA的質量保證專業技能。她是IEEE的高級會員。Tanzila博士是PSU人工智慧與資料分析研究實驗室的負責人，並且是ACM、AIS和IAENG組織的活躍專業成員。她是PSU在史丹佛大學和全球女性科技會議（Global WomenTech Conference）的WiDS（女性資料科學）大使。她連續四年獲得PSU最佳研究者獎。自2019年9月以來，她被提名為PSU的研究教授。

Amjad Rehman Khan是沙烏地阿拉伯利雅德王子蘇丹大學人工智慧與資料分析實驗室的高級研究員。他於2010年和2011年分別在馬來西亞科技大學計算機學院獲得法醫文件分析與安全專業的博士學位和博士後研究學位，並以優異成績畢業。他於2010年獲得大學最佳學生的校長獎。他對資料挖掘、健康資訊學和模式識別有濃厚的興趣。他是超過200篇ISI期刊論文和會議的作者，並且是IEEE的高級會員。目前，他是幾個資助項目的主要研究者，並已完成來自馬來西亞高等教育部和沙烏地阿拉伯的資助項目。

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