Computational Intelligence and Blockchain in Biomedical and Health Informatics
暫譯: 生物醫學與健康資訊學中的計算智慧與區塊鏈

Bhambri, Pankaj, Rani, Sita, Fahim, Muhammad

  • 出版商: CRC
  • 出版日期: 2025-12-26
  • 售價: $2,870
  • 貴賓價: 9.5$2,727
  • 語言: 英文
  • 頁數: 334
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1032604808
  • ISBN-13: 9781032604800
  • 相關分類: Machine Learning區塊鏈 Blockchain
  • 海外代購書籍(需單獨結帳)

相關主題

商品描述

Advancements in computational intelligence, which encompasses artificial intelligence, machine learning, and data analytics, have revolutionized the way we process and analyze biomedical and health data. These techniques offer novel approaches to understanding complex biological systems, improving disease diagnosis, optimizing treatment plans, and enhancing patient outcomes. Computational Intelligence and Blockchain in Biomedical and Health Informatics introduces the role of computational intelligence and blockchain in the biomedical and health informatics fields and provides a framework and summary of the various methods. The book emphasizes the role of advanced computational techniques and offers demonstrative examples throughout. Techniques to analyze the impacts on the biomedical and health Informatics domains are discussed along with major challenges in deployment. Rounding out the book are highlights of the transformative potential of computational intelligence and blockchain in addressing critical issues in healthcare from disease diagnosis and personalized medicine to health data management and interoperability along with two case studies. This book is highly beneficial to educators, researchers, and anyone involved with health data.

Features:

- Introduces the role of computational intelligence and blockchain in the biomedical and health informatics fields.

- Provides a framework and a summary of various computational intelligence and blockchain methods.

- Emphasizes the role of advanced computational techniques and offers demonstrative examples throughout.

- Techniques to analyze the impact on biomedical and health informatics are discussed along with major challenges in deployment.

- Highlights the transformative potential of computational intelligence and blockchain in addressing critical issues in healthcare from disease diagnosis and personalized medicine to health data management and interoperability.

商品描述(中文翻譯)

計算智能的進步,包括人工智慧、機器學習和數據分析,徹底改變了我們處理和分析生物醫學及健康數據的方式。這些技術提供了理解複雜生物系統的新方法,改善疾病診斷、優化治療計劃並提升病人結果。計算智能與區塊鏈在生物醫學與健康資訊學中的應用介紹了計算智能和區塊鏈在生物醫學和健康資訊學領域的角色,並提供了各種方法的框架和摘要。本書強調先進計算技術的角色,並在全書中提供示範性範例。討論了分析對生物醫學和健康資訊學領域影響的技術,以及在部署過程中面臨的主要挑戰。本書還突顯了計算智能和區塊鏈在解決健康照護中關鍵問題的變革潛力,從疾病診斷和個人化醫療到健康數據管理和互操作性,並附有兩個案例研究。本書對教育工作者、研究人員以及任何與健康數據相關的人士都非常有益。

特色:

- 介紹計算智能和區塊鏈在生物醫學和健康資訊學領域的角色。

- 提供各種計算智能和區塊鏈方法的框架和摘要。

- 強調先進計算技術的角色,並在全書中提供示範性範例。

- 討論分析對生物醫學和健康資訊學影響的技術,以及在部署過程中面臨的主要挑戰。

- 突顯計算智能和區塊鏈在解決健康照護中關鍵問題的變革潛力,從疾病診斷和個人化醫療到健康數據管理和互操作性。

作者簡介

Dr. Pankaj Bhambri works in the Department of Information Technology at Ludhiana's Guru Nanak Dev Engineering College. He serves as the Institute's Coordinator, Skill Enhancement Cell, and has almost two decades of teaching experience. He earned his M.Tech. (CSE) and a B.E. (IT) with honors from the I.K.G. Punjab Technical University, Jalandhar, India, and Dr. B.R. Ambedkar University, Agra, India, respectively. Dr. Bhambri earned his doctorate in computer science and engineering from the I.K.G. Punjab Technical University, Jalandhar, India. His research has appeared in a variety of prestigious international/national journals and conference proceedings and he has contributed to numerous books and has also filed several patents. Dr. Bhambri has been awarded the ISTE Best Teacher Award in 2023 and 2022, the I2OR National Award in 2020, the Green ThinkerZ Top 100 International Distinguished Educators in 2020, the I2OR Outstanding Educator Award in 2019, the LCHC Best Teacher Award in 2007, the CIPS Rashtriya Rattan Award in 2008, and the SAA Distinguished Alumni Award in 2012 along with countless other accolades from various government and non-profit organizations. Machine Learning, Bioinformatics, Wireless Sensor Networks, and Network Security are his areas of interest.

Dr. Sita Rani is working as an Assistant Professor in the Department of Computer Science and Engineering at Guru Nanak Dev Engineering College, Ludhiana. She has served as Deputy Dean (Research) at Gulzar Group of Institutions, Khanna (Punjab). Dr. Rani completed her B.Tech and M.Tech degrees in the faculty of Computer Science and Engineering from Guru Nanak Dev Engineering College, Ludhiana. She earned her Ph.D. in Computer Science and Engineering from I.K.Gujral Punjab Technical University, Kapurthala, Punjab in the year 2018 and has more than 19 years of teaching experience. She is the receiver of ISTE Section Best Teacher Award- 2020, and International Young Scientist Award-2021. She has contributed to various research activities while publishing articles in renowned journals and conference proceedings. She has three international patents to her credit as well. Her research interest includes Parallel and Distributed Computing, Machine Learning, and the Internet of Things (IoT).

Dr. Muhammad Fahim is a Lecturer (Assistant Professor) in AI theme at the School of Electronics, Electrical Engineering and Computer Science (EEECS), Queen's University Belfast, and a member of the Centre for Data Sciences and Scalable Computing (DSSC), and hold a fellowship Global Institute for Innovation. Fahim worked as an Assistant Professor at the Institute of Data Science and Artificial Intelligence, Innopolis University, Russia from Sept. 2017 to June 2021. He also served as an Assistant Professor in the Department of Computer Engineering at Istanbul Sabahattin Zaim University, Istanbul, Turkey, and led a machine learning research lab for 3 years (i.e., Sept. 2014 to Aug. 2017). Fahim earned Ph.D. in Artificial Intelligence and made a significant contribution to the ubiquitous lifecare research center in Seoul, South Korea. His contributions to this field are based on the design and development of novel machine-learning models to process the sensory data streams collected in smart environments including smart homes, buildings, and wearables.

作者簡介(中文翻譯)

Dr. Pankaj Bhambri 目前在盧迪亞納的古魯納納克德夫工程學院資訊科技系工作。他擔任該學院的協調員及技能提升小組,擁有近二十年的教學經驗。他在印度賈蘭達爾的 I.K.G. Punjab Technical University 獲得 M.Tech. (CSE) 學位,並在印度阿格拉的 Dr. B.R. Ambedkar University 獲得榮譽 B.E. (IT) 學位。Dr. Bhambri 在印度賈蘭達爾的 I.K.G. Punjab Technical University 獲得計算機科學與工程博士學位。他的研究成果發表於多個知名的國際/國內期刊和會議論文集中,並為多本書籍作出貢獻,還申請了多項專利。Dr. Bhambri 在 2023 年和 2022 年獲得 ISTE 最佳教師獎,2020 年獲得 I2OR 國家獎,2020 年被評選為 Green ThinkerZ 全球百大傑出教育者,2019 年獲得 I2OR 傑出教育者獎,2007 年獲得 LCHC 最佳教師獎,2008 年獲得 CIPS Rashtriya Rattan 獎,2012 年獲得 SAA 傑出校友獎,以及來自各種政府和非營利組織的無數其他榮譽。他的研究興趣包括機器學習、生物資訊學、無線感測網路和網路安全。

Dr. Sita Rani 目前在古魯納納克德夫工程學院的計算機科學與工程系擔任助理教授。她曾在旁遮普的 Gulzar Group of Institutions 擔任副院長(研究)。Dr. Rani 在古魯納納克德夫工程學院完成了計算機科學與工程的 B.Tech 和 M.Tech 學位。她於 2018 年在旁遮普的 I.K. Gujral Punjab Technical University 獲得計算機科學與工程博士學位,並擁有超過 19 年的教學經驗。她獲得了 2020 年 ISTE 區域最佳教師獎和 2021 年國際青年科學家獎。她參與了各種研究活動,並在知名期刊和會議論文集中發表文章。她還擁有三項國際專利。她的研究興趣包括平行與分散計算、機器學習和物聯網(IoT)。

Dr. Muhammad Fahim 是貝爾法斯特女王大學電子、電氣工程與計算機科學學院(EEECS)人工智慧主題的講師(助理教授),並且是數據科學與可擴展計算中心(DSSC)的成員,還擁有全球創新研究所的獎學金。Fahim 曾於 2017 年 9 月至 2021 年 6 月在俄羅斯 Innopolis University 的數據科學與人工智慧研究所擔任助理教授。他還曾在土耳其伊斯坦堡的伊斯坦堡薩巴哈丁扎伊姆大學計算機工程系擔任助理教授,並領導了一個機器學習研究實驗室三年(即 2014 年 9 月至 2017 年 8 月)。Fahim 獲得人工智慧博士學位,並對位於南韓首爾的無處不在的生命照護研究中心作出了重要貢獻。他在該領域的貢獻基於設計和開發新型機器學習模型,以處理在智能環境(包括智能家居、建築和可穿戴設備)中收集的感測數據流。