Computational Intelligence in Healthcare: Applications, Challenges, and Management
Gupta, Meenu, Ahmed, Shakeel, Kumar, Rakesh
- 出版商: CRC
- 出版日期: 2023-02-10
- 售價: $4,490
- 貴賓價: 9.5 折 $4,266
- 語言: 英文
- 頁數: 214
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1032304936
- ISBN-13: 9781032304939
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相關主題
商品描述
Computational intelligence (CI) refers to the ability of computers to accomplish tasks that are normally completed by intelligent beings such as humans and animals. Artificial intelligent systems, offers great improvement in healthcare system by providing more intelligent and convenient solutions and services assisted by machine learning, wireless communications, data analytics, cognitive computing, and mobile computing. Modern health treatments are faced with the challenge of acquiring, analysing and applying the large amount of knowledge necessary to solve complex problems. AI techniques are being effectively used in the fields of healthcare system by extracting the useful information from the vast amounts of data by applying Human expertise and Computational intelligence (CI) methods such as fuzzy models, artificial neural networks, evolutionary algorithms, and probabilistic methods which have recently emerged as promising tools for the development and application of intelligent systems in healthcare practice.
This book starts with the fundamentals of computer intelligence and the techniques and procedures associated with it. Contained in this book are state-of-the-art methods of computational intelligence and other allied techniques used in the healthcare system, as well as advances in different CI methods that will confront the problem of effective data analysis and storage faced by healthcare institutions.
The objective of this book is to provide the latest ongoing research related to healthcare sector to the researchers and engineers with a platform encompassing state-of-the-art innovations; research and design; implementation of methodologies.
商品描述(中文翻譯)
計算智能（CI）指的是計算機能夠完成通常由智能生物（如人類和動物）完成的任務的能力。人工智能系統通過機器學習、無線通信、數據分析、認知計算和移動計算等技術提供更智能和便捷的解決方案和服務，從而在醫療系統中取得了巨大的改進。現代醫療治療面臨著獲取、分析和應用大量知識以解決複雜問題的挑戰。人工智能技術在醫療系統領域中得到了有效應用，通過應用人類專業知識和計算智能（CI）方法（如模糊模型、人工神經網絡、進化算法和概率方法）從大量數據中提取有用信息，這些方法最近已成為醫療實踐中智能系統開發和應用的有希望工具。
本書從計算機智能的基礎知識和相關技術和程序開始。本書包含了在醫療系統中使用的計算智能和其他相關技術的最新方法，以及將面臨醫療機構所面臨的有效數據分析和存儲問題的不同計算智能方法的進展。
本書的目標是為研究人員和工程師提供與醫療行業相關的最新研究，涵蓋最先進的創新、研究和設計以及方法學的實施的平台。
作者簡介
Dr. Meenu Gupta is an Associate Professor at the UIE-CSE Department, Chandigarh University, India. She has completed her PhD degree in Computer Science and Engineering with emphasis on Traffic Accident Severity Problems from Ansal University, Gurgaon, India, year 2020. She has more than 13 years of teaching experience. Her areas of research cover the fields of Machine Learning, Intelligent Systems, Data mining, with a specific interest in Artificial Intelligence, Smart Cities, etc. She has edited two books on Healthcare and Cancer diseases and authored four engineering books. She works as a reviewer for several journals including Soft Computing, Big Data, Scientific Report, and etc. She is a life member of ISTE and IAENG. She has authored or co-authored more than 20 book chapters and over 60 papers in refereed international journals and conferences. She has filled 3 Indian patents and awarded with best faculty and researcher of the department in year 2021.
Dr. Shakeel Ahmed is Associate Professor at the College of Computer Sciences and Information Technology, King Faisal University, Saudi Arabia. His areas of interest include Software Verification and Validation, Mobile AdHoc Networks, Software Engineering, and Cloud Computing. He is the head of the cloud computing research group at the College of Computer Sciences and Information technology, KFU. He has authored several research papers in indexed and impact factor research journals and IEEE international conferences. He is a PC member for several international conferences and an active reviewer for quartile journals. He holds a Ph.D. degree in Computer Science from Indore University, India.
Dr. Rakesh Kumar is a Professor in the Department of Computer Science Engineering at Chandigarh University, Punjab, India. He has done his Ph.D. in Computer Science and Engineering from Punjab Technical University, Jalandhar, year 2017. He has more than 17 years of teaching experience. His research interests are IoT, Machine Learning and Natural Language Processing. He has published many authored books with reputed publisher. He works as a reviewer for several journals including Big Data, CMC, Scientific Report and TSP. He has authored or co-authored more than 50 publications various National, International Conferences and International Journals. He is also working as a PI in AIMS funding project with collaboration of Chandigarh University, Punjab.
Chadi Altrjman is working as an associate scientist and researcher in Near East University, Cyprus and received his Bachelor of Engineering from the University of Waterloo, Ontario, Canada. And now, he is involved in several smart projects via which he is expanding his practical skills. His research interests include AI and machine learning, Wireless Sensor Networks, Chemical Sensors, Sustainable & Renewable Energy Integration, Distributed Power Generation, and Smart Grid Applications.
作者簡介(中文翻譯)
Dr. Meenu Gupta是印度昌迪加爾大學UIE-CSE系的副教授。她於2020年在印度古爾岡的Ansal大學獲得計算機科學與工程博士學位，專注於交通事故嚴重程度問題。她擁有超過13年的教學經驗。她的研究領域涵蓋機器學習、智能系統、數據挖掘，對人工智能、智慧城市等特別感興趣。她編輯了兩本關於醫療保健和癌症疾病的書籍，並撰寫了四本工程書籍。她擔任多個期刊的審稿人，包括《軟計算》、《大數據》、《科學報告》等。她是ISTE和IAENG的終身會員。她在國際期刊和會議上撰寫或合著了20多篇專書章節和60多篇論文。她填寫了3項印度專利，並於2021年獲得了該系的最佳教職員和研究員獎。
Dr. Shakeel Ahmed是沙特阿拉伯國王法薩爾大學計算機科學與信息技術學院的副教授。他的研究興趣包括軟件驗證和驗證、移動自組網絡、軟件工程和雲計算。他是該學院雲計算研究小組的負責人。他在索引和影響因子研究期刊以及IEEE國際會議上撰寫了多篇研究論文。他是多個國際會議的程序委員會成員，也是四分位期刊的活躍審稿人。他在印度印多爾大學獲得了計算機科學博士學位。
Dr. Rakesh Kumar是印度旁遮普邦昌迪加爾大學計算機科學工程系的教授。他於2017年在旁遮普技術大學獲得計算機科學與工程博士學位。他擁有超過17年的教學經驗。他的研究興趣包括物聯網、機器學習和自然語言處理。他出版了多本由知名出版商出版的專著。他擔任多個期刊的審稿人，包括《大數據》、《CMC》、《科學報告》和《TSP》。他在國內外會議和期刊上撰寫或合著了50多篇論文。他還在昌迪加爾大學旁遮普邦與AIMS合作的項目中擔任項目負責人。
Chadi Altrjman在塞浦路斯近東大學擔任副科學家和研究員，並在加拿大安大略省滑鐵盧大學獲得工程學士學位。他通過參與多個智能項目來擴展自己的實踐技能。他的研究興趣包括人工智能和機器學習、無線傳感器網絡、化學傳感器、可持續和可再生能源集成、分散式發電和智能電網應用。
