Machine Learning and Artificial Intelligence in Healthcare Systems: Tools and Techniques
暫譯: 醫療系統中的機器學習與人工智慧：工具與技術
Shaikh, Tawseef Ayoub, Hakak, Saqib, Rasool, Tabasum
- 出版商: CRC
- 出版日期: 2024-12-30
- 售價: $2,870
- 貴賓價: 9.5 折 $2,727
- 語言: 英文
- 頁數: 356
- 裝訂: Quality Paper - also called trade paper
- ISBN: 1032549211
- ISBN-13: 9781032549217
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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)
相關主題
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; such paradigms can help 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 underlie 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)
本書提供機器學習在醫療系統中的應用，旨在通過結合工程設計和問題解決技能與健康科學，縮小工程與醫學之間的差距，以推進醫療治療。
《醫療系統中的機器學習與人工智慧：工具與技術》討論了基於人工智慧的智能範式，以可靠預測傳染病動態；這些範式可以幫助預防疾病傳播。它突顯了擴增實境在多樣化醫療應用中的不同方面，並彙總了當前的研究狀態。本書提供了智能推薦系統的智能模型，用於個人健康服務以及計算機輔助藥物發現和設計方法。案例研究展示了利用大數據和健康分析改善醫療服務的商業流程，成為本書的重點。用於提取用戶社交行為的創新技術（稱為針對醫療相關目的的情感分析）也涵蓋了本參考書的多樣主題。
本書由該領域的專家貢獻，對醫療專業人員、研究人員以及工業工程、系統工程、生物醫學、計算機科學、電子學和通信工程的學生均有幫助。
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 是印度拉喬里巴巴古拉姆沙巴沙大學 (Baba Ghulam Shah Badshah University, BGSBU) 計算機科學工程系的助理教授。他在印度阿利格爾穆斯林大學 (Aligarh Muslim University, AMU) 的扎基爾侯賽因工程與技術學院 (Zakir Hussain College of Engineering and Technology, ZHECT) 獲得博士學位。在此之前，他在印度阿姆利則的古魯納納克大學 (Guru Nanak Dev University, GNDU) 獲得碩士學位，並在印度查謨和克什米爾的伊斯蘭科技大學 (Islamic University of Science and Technology, IUST) 獲得計算機工程學士學位。他擁有五年的教學經驗和八年的研究經驗，並已發表超過33篇期刊/會議論文和書籍章節，這些作品均被SCI、SCIE、WoS和Scopus等知名索引機構收錄。Dr. Shaikh 通過了計算機科學工程的國家級考試，如UGC-NET、JKSLET和GATE。他獲得並完成了四個由印度人力資源發展部 (MHRD)、國家項目實施單位 (NPIU) 和印度政府 (GoI) 全額資助的項目。他的專業領域包括機器學習、醫療數據分析、人工智慧、健康資訊學、深度學習和軟計算。
Dr. Saqib Hakak 是加拿大新不倫瑞克大學 (University of New Brunswick) 資訊安全研究所 (Canadian Institute for Cybersecurity) 的助理教授。他在新不倫瑞克大學的資訊安全研究所完成了博士後研究，參與IBM項目「端點威脅分析：以人為本的網絡安全」，研究期間為2019年2月至2019年8月。他擁有五年的教學經驗和八年的研究經驗，並已發表超過33篇期刊/會議論文和書籍章節，這些作品均被SCI、SCIE、WoS和Scopus等知名索引機構收錄。他在電信行業的無線電頻率工程師 (Radio Frequency Engineer) 方面擁有三年的產業經驗，曾在Ericson India Pvt Limited的查謨和克什米爾圈工作（2011年5月至2012年5月），進行使用TEMS KIT的日誌分析，並分析RSCP、TX功率、EcNo等參數。Dr. Hakak 是多本知名期刊的審稿人，如IEEE Transactions on Intelligent Transportation Systems、Future Generation Computer Systems、IEEE ACCESS、Mechanical Systems和Signal Processing等。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療數據分析。
Dr. Tabasum Rasool 是印度班加羅爾科學研究所 (Indian Institute of Science, IISc) 跨學科科學部的研究助理 (Research Associate, RA)。她在印度斯利那加的國立技術學院 (National Institute of Technology, NIT) 獲得博士學位，並已在知名期刊/會議上發表超過十篇論文和書籍章節，這些作品均被SCI、SCIE、WoS和Scopus等知名索引機構收錄。她擁有九年的研究經驗。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 (Govt. Engineering College, Bharatpur) 計算機科學與工程系的助理教授。他在印度阿利格爾穆斯林大學 (Aligarh Muslim University, AMU) 的扎基爾侯賽因工程與技術學院 (Zakir Hussain College of Engineering and Technology, ZHECT) 獲得博士學位。他擁有五年的教學經驗和八年的研究經驗，並已發表超過25篇期刊/會議論文和書籍章節，這些作品均被SCI、SCIE、WoS和Scopus等知名索引機構收錄。Dr. Wasid 通過了計算機科學工程的國家級考試，如UGC-NET和GATE。他獲得並完成了三個由印度人力資源發展部 (MHRD)、國家項目實施單位 (NPIU) 和印度政府 (GoI) 全額資助的項目。他的專業領域包括機器學習、推薦系統、軟計算和模式識別。
