Machine Learning and Artificial Intelligence in Healthcare Systems: Tools and Techniques
Shaikh, Tawseef Ayoub, Hakak, Saqib, Rasool, Tabasum
- 出版商: CRC
- 出版日期: 2023-02-22
- 售價: $7,050
- 貴賓價: 9.5 折 $6,698
- 語言: 英文
- 頁數: 350
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1032208309
- ISBN-13: 9781032208305
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相關分類:
人工智慧、Machine Learning
海外代購書籍(需單獨結帳)
商品描述
This book provides applications of machine learning in healthcare systems and seeks to close the gap between engineering and medicine by combining design and problem-solving skills of engineering with health sciences to advance healthcare treatment.
Machine Learning and Artificial Intelligence in Healthcare Systems: Tools and Techniques discusses AI-based smart paradigms for reliable prediction of infectious disease dynamics which can help or prevent disease transmission. It highlights the different aspects of using extended reality for diverse healthcare applications and aggregates the current state of research. The book offers intelligent models of the smart recommender system for personal well-being services and computer-aided drug discovery and design methods. Case studies illustrating the business processes that underline the use of big data and health analytics to improve healthcare delivery are center stage. Innovative techniques used for extracting user social behavior known as sentiment analysis for healthcare-related purposes round out the diverse array of topics this reference book covers.
Contributions from experts in the field, this book is useful to healthcare professionals, researchers, and students of industrial engineering, systems engineering, biomedical, computer science, electronics, and communications engineering.
商品描述(中文翻譯)
本書提供了機器學習在醫療系統中的應用，並旨在通過結合工程的設計和問題解決技能與健康科學，來推進醫療治療，以彌合工程和醫學之間的差距。
《機器學習和人工智慧在醫療系統中的應用：工具和技術》討論了基於人工智慧的智能範式，可可靠地預測傳染病動態，從而有助於預防疾病傳播。它突出了使用擴增實境在各種醫療應用中的不同方面，並綜合了當前研究的現狀。本書提供了智能推薦系統的智能模型，用於個人福祉服務和計算機輔助藥物發現和設計方法。案例研究突出了使用大數據和健康分析來改善醫療服務交付的業務流程。本參考書還涵蓋了用於提取用戶社交行為的創新技術，即情感分析，用於醫療相關目的。
本書由該領域的專家貢獻，對醫療專業人士、研究人員以及工業工程、系統工程、生物醫學、計算機科學、電子和通信工程等專業的學生都有用。
作者簡介
Dr. Tawseef Ayoub Shaikh is an Assistant Professor in the Computer Science Engineering Department, Baba Ghulam Shah Badshah University (BGSBU), Rajouri, India. He earned his Doctorate from Zakir Hussain College of Engineering and Technology (ZHECT), Aligarh Muslim University (AMU), Aligarh, India. Before this, he earned his M-Tech from Guru Nanak Dev University (GNDU) Amritsar India and B-tech in Computer Engineering from Islamic University of Science and Technology (IUST) Jammu and Kashmir, India. He has five years of teaching and eight years of research experience and has published more than 33 journal/conference papers and book chapters which are indexed in reputed indexing bodies such as SCI, SCIE, WoS, and Scopus. Dr. Shaikh has qualified national-level exams in Computer Science Engineering like UGC-NET, JKSLET, and GATE. He has been granted and completed four fully funded government projects by MHRD, NPIU, and GoI. His areas of expertise include Machine Learning, Medical Data Analysis, Artificial Intelligence, Healthcare Informatics, Deep Learning, Soft Computing.
Dr. Saqib Hakak is an Assistant Professor at Canadian Institute for Cybersecurity, Faculty of Computer Science University of New Brunswick, Fredericton, NB, Canada. He has completed his Post Doctorate Research at Canadian Institute for Cybersecurity, University of New Brunswick, Fredericton, in the IBM Project "Endpoint Threat Analytic: A people-oriented Cybersecurity", from Feb 2019 - Aug 2019. He has five years of teaching and eight years of research experience. He has published more than 33 journal/conference papers and book chapters which are indexed in reputed indexing bodies such as SCI, SCIE, WoS, and Scopus. He has three years of industrial experience in Radio Frequency Engineer (Telecom sector), Ericson India Pvt Limited, J&K circle (May 2011 - May 2012), Log analysis using TEMS KIT and analyzing parameters such as RSCP, TX power, EcNo. Dr. Hakak is the journal reviewer of reputed journals such as IEEE Transactions on Intelligent Transportation Systems, Future Generation Computer Systems, IEEE ACCESS, Mechanical Systems, and Signal Processing, etc. His areas of expertise are Natural language processing (NLP), Machine learning, Data Analyses, Data science for Security Applications, Medical data Analysis.
Dr. Tabasum Rasool is a Research Associate (RA) at the Division of Interdisciplinary Sciences, Indian Institute of Science (IISc) Banglore. She is a Doctorate from the National Institute of Technology (NIT), Srinagar, and has published over ten papers in reputed journals/conferences and book chapters which are indexed in reputed indexing bodies such as SCI, SCIE, WoS, and Scopus. She has 9 years of research experience. Her areas of expertise include Machine Learning, Fuzzy Computing, Genetic Optimization Techniques, and Water Source Management.
Dr. Mohammed Wasid is an Assistant Professor in the Department of Computer Science & Engineering, Govt. Engineering College, Bharatpur, Rajasthan. He earned his Doctorate from Zakir Hussain College of Engineering and Technology (ZHECT), Aligarh Muslim University (AMU), Aligarh, India. He has five years of teaching experience and eight years of research experience. He has published more than 25 papers in journals/conferences and book chapters which are all indexed in reputed bodies such as SCI, SCIE, WoS, and Scopus. Dr. Wasid has qualified national-level exams in Computer Science Engineering like UGC-NET and GATE. He has been granted and completed three fully funded government projects by MHRD, NPIU, and GoI. His areas of expertise include Machine Learning, Recommendation Systems, Soft Computing, and Pattern Recognition.
作者簡介(中文翻譯)
Dr. Tawseef Ayoub Shaikh是印度拉焦里巴巴古蘭沙巴德沙大學（BGSBU）計算機科學工程系的助理教授。他在印度阿利加爾穆斯林大學（AMU）的Zakir Hussain工程技術學院（ZHECT）獲得博士學位。在此之前，他在印度阿姆利則的Guru Nanak Dev大學（GNDU）獲得碩士學位，並在印度查謨和克什米爾的伊斯蘭科學與技術大學（IUST）獲得計算機工程學士學位。他有五年的教學和八年的研究經驗，並發表了超過33篇期刊/會議論文和書籍章節，這些論文被SCI、SCIE、WoS和Scopus等知名索引機構收錄。Shaikh博士通過UGC-NET、JKSLET和GATE等全國性計算機科學工程考試。他已獲得並完成了由MHRD、NPIU和GoI提供的四個全額資助的政府項目。他的專業領域包括機器學習、醫學數據分析、人工智能、醫療信息學、深度學習和軟計算。
Dr. Saqib Hakak是加拿大新不倫瑞克大學計算機科學學院加拿大網絡安全研究所的助理教授。他在加拿大新不倫瑞克大學的加拿大網絡安全研究所完成了博士後研究，研究項目為IBM的“端點威脅分析：以人為導向的網絡安全”，時間為2019年2月至2019年8月。他有五年的教學和八年的研究經驗。他發表了超過33篇期刊/會議論文和書籍章節，這些論文被SCI、SCIE、WoS和Scopus等知名索引機構收錄。他在電信行業擁有三年的工業經驗，曾在Ericson India Pvt Limited的J&K圈擔任射頻工程師（2011年5月至2012年5月），使用TEMS KIT進行日誌分析，並分析RSCP、TX power、EcNo等參數。Hakak博士是IEEE Transactions on Intelligent Transportation Systems、Future Generation Computer Systems、IEEE ACCESS、Mechanical Systems和Signal Processing等知名期刊的審稿人。他的專業領域包括自然語言處理（NLP）、機器學習、數據分析、安全應用的數據科學和醫學數據分析。
Dr. Tabasum Rasool是印度科學研究所（IISc）跨學科科學部門的研究助理。她在印度國家技術學院（NIT）斯利那加爾獲得博士學位，並在知名期刊/會議和書籍章節上發表了十多篇論文，這些論文被SCI、SCIE、WoS和Scopus等知名索引機構收錄。她有9年的研究經驗。她的專業領域包括機器學習、模糊計算、遺傳優化技術和水源管理。
Dr. Mohammed Wasid是印度拉賈斯坦邦巴拉特普爾政府工程學院計算機科學與工程系的助理教授。他在印度阿利加爾穆斯林大學（AMU）的Zakir Hussain工程技術學院（ZHECT）獲得博士學位。他有五年的教學經驗和八年的研究經驗。他發表了超過25篇期刊/會議論文和書籍章節，這些論文都被SCI、SCIE、WoS和Scopus等知名機構收錄。Dr. Wasid通過UGC-NET和GATE等全國性計算機科學工程考試。他已獲得並完成了由MHRD、NPIU和GoI提供的三個全額資助的政府項目。他的專業領域包括機器學習、推薦系統、軟計算和模式識別。
