Handbook of Deep Learning Models for Healthcare Data Processing: Disease Prediction, Analysis, and Applications
暫譯: 醫療數據處理深度學習模型手冊：疾病預測、分析與應用
Kumar, Ajay, Dembla, Deepak, Tinker, Seema
- 出版商: CRC
- 出版日期: 2025-06-30
- 售價: $6,160
- 貴賓價: 9.5 折 $5,852
- 語言: 英文
- 頁數: 20
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1032739398
- ISBN-13: 9781032739397
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相關分類:
DeepLearning
尚未上市，無法訂購
相關主題
商品描述
In recent years, deep learning has shown great potential in transforming various fields including healthcare. With the abundance of healthcare data being generated every day, there is a pressing need to develop efficient algorithms that can process and analyze this data to improve patient care and treatment outcomes.
Handbook of Deep Learning Models for Healthcare Data Processing: Disease Prediction, Analysis, and Applications covers a wide range of deep learning models, techniques, and applications in healthcare data processing, analysis, and disease prediction, providing a comprehensive overview of the field. It focuses on the practical application of deep learning models in healthcare and offers step-by-step instructions for building and deploying models and using real-world examples. The handbook discusses the potential future applications of deep learning models in healthcare, such as precision medicine, personalized treatment, and clinical decision support. It also addresses the ethical considerations associated with the use of deep learning models in healthcare, such as privacy, security, and bias. It provides technical details on deep learning models, including their architecture, training methods, and optimization techniques, making it useful for data scientists and researchers.
Written to be a comprehensive guide for healthcare professionals, researchers, and data analysts, this handbook is an essential need for those who are interested in using deep learning models to analyze and process healthcare data. It is also suitable for those who have a basic understanding of machine learning and want to learn more about the latest advancements in deep learning in healthcare.
商品描述(中文翻譯)
在近幾年，深度學習在轉變各個領域，包括醫療保健方面，顯示出巨大的潛力。隨著每天產生大量的醫療數據，迫切需要開發高效的算法來處理和分析這些數據，以改善病患護理和治療結果。
《醫療數據處理的深度學習模型手冊：疾病預測、分析與應用》涵蓋了醫療數據處理、分析和疾病預測中各種深度學習模型、技術和應用，提供了該領域的全面概述。它專注於深度學習模型在醫療保健中的實際應用，並提供逐步指導，幫助讀者構建和部署模型，並使用真實世界的例子。該手冊討論了深度學習模型在醫療保健中的潛在未來應用，如精準醫療、個性化治療和臨床決策支持。它還涉及使用深度學習模型在醫療保健中所面臨的倫理考量，如隱私、安全性和偏見。手冊提供了有關深度學習模型的技術細節，包括其架構、訓練方法和優化技術，對數據科學家和研究人員非常有用。
本手冊旨在成為醫療專業人員、研究人員和數據分析師的全面指南，對於那些有興趣使用深度學習模型來分析和處理醫療數據的人來說，是一個必備的資源。它也適合那些對機器學習有基本了解並希望進一步了解醫療領域深度學習最新進展的人士。
作者簡介
Prof. (Dr.) Ajay Kumar is currently serving as a Professor in School of Engineering and Technology, JECRC University, Jaipur, Rajasthan, India. He received his Ph.D. in the field of Advanced Manufacturing from Guru Jambheshwar University of Science & Technology, Hisar, India after B.Tech. (Hons.) in mechanical engineering and M.Tech. (Distinction) in manufacturing and automation. Dr. Kumar's areas of research include Incremental Sheet Forming, Artificial Intelligence, Sustainable Materials, Additive Manufacturing, Mechatronics, Smart Manufacturing, Industry 4.0, Waste Management, and Optimization Techniques. He has authored over 120 publications in international journals of repute including SCOPUS, Web of Science and SCI indexed database and refereed international conferences. As well as co-authored and co-edited many books with ELSEVIER, CRC Press, WILEY, De Gruyter and IGI Global and conference proceedings with IOP. In addition to organizing various national and international events including an international conference on Mechatronics and Artificial Intelligence (ICMAI-2021), Dr. Kumar was the conference chair of the International conference on Artificial Intelligence, Advanced Materials, and Mechatronics Systems (AIAMMS-2023). He has more than 20 national and international patents to his credit, and has supervised more than eight M.Tech, Ph.D scholars and numerous undergraduate projects/thesis during his 15 years of teaching and research experience. Dr. Kumar is a Guest Editor and Review Editor of reputed journals including Frontiers in Sustainability, and has contributed to many international conferences/symposiums as a session chair, expert speaker, and member of the editorial board. During his career Prof Kumar has won several proficiency awards, including merit awards, and best teacher awards. He is adviser of QCFI, Delhi Chapter student cell at JECRC University and has authored many in-house course notes, lab manuals, monographs and invited chapters in books. Additionally, he organized a series of Faculty Development Programs, International Conferences, workshops, and seminars for researchers, PhD, UG and PG level students and is associated with multiple research, academic, and professional societies.
Dr. Deepak Dembla has been serving JU as Dean and HoD of the School of Computer Applications in JECRC University Jaipur for the last 9 years. He is also the Director of Internships and Accreditation. Dr. Dembla completed his M. Tech. from Punjabi University Patiala in the year 2004 and his Ph.D. from Guru Jambheshwar University of Science and Technology Hisar, NAAC Accredited A grade State Govt. University in Haryana. He has 22 years of experience and specialization in Mobile Adhoc Networks, Wireless Networks, Software Engineering, Cloud Computing, AI& ML. Dr. Dembla has published 61 research papers in international and national journals and conferences of repute. He is on the editorial board of various international journals, has guided a dozen students of M. Tech., and is actively guiding 10 research scholars for their Ph.D. programs. He is also associated with various professional international societies like ACM, IEEEE, IAENG, IACSIT and has published 10 Patents including the grant of one German Patent as well.
Dr. Seema Tinker is working as a Professor in the Department of Mathematics and has a total academic experience of more than 20 years. She was awarded a Ph.D. in Mathematics in the year 2006 from Rajasthan University Jaipur, India. Her research work includes Relativity, Fluid Dynamics, and Machine and Deep Learning. She has published more than 22 research papers in national and international SCOPUS/SCI journals and has also published more than 20 papers in various national and international conferences. Dr. Tinker has attended more than 23 workshops, FDPs, and short-term courses and has authored 3 books and published 3 Indian Patents.
Dr. Surbhi Bhatia Khan has a doctorate in Computer Science and Engineering in Machine Learning and Social Media Analytics. She earned a Project Management Professional Certification from the Project Management Institute, USA. Dr. Khan is currently working as a Lecturer in the Department of Data Science, School of Science, Engineering and Environment, University of Salford, Manchester, United Kingdom, and has more than 11 years of academic and teaching experience at different universities. Dr. Khan has published 100+ papers in many reputed journals in high-indexed outlets and has around 12 international patents from India, Australia, and the USA. She has successfully authored and edited 14 books and has completed research-funded projects from the Deanship of Scientific Research, and the Ministry of Education in Saudi Arabia, and India. She is a senior member of IEEE, a member of IEEE Young Professionals, and ACM. She has chaired several international conferences and workshops and has delivered over 20 invited and keynote talks across the globe. Her areas of interest are Information Systems, Sentiment Analysis, Machine Learning, Databases, and Data Science.
作者簡介(中文翻譯)
Ajay Kumar 教授 (博士) 目前擔任印度拉賈斯坦邦齋浦爾的 JECRC 大學工程與技術學院教授。他在印度希沙爾的古魯詹比斯瓦爾科技大學獲得了先進製造領域的博士學位，並在機械工程獲得榮譽學士學位 (B.Tech. (Hons.)) 和在製造與自動化獲得優異碩士學位 (M.Tech. (Distinction))。Kumar 博士的研究領域包括增量板材成形、人工智慧、可持續材料、增材製造、機電一體化、智慧製造、工業 4.0、廢物管理和優化技術。他在國際知名期刊上發表了超過 120 篇論文，包括 SCOPUS、Web of Science 和 SCI 索引的數據庫，以及經過審核的國際會議。此外，他還與 ELSEVIER、CRC Press、WILEY、De Gruyter 和 IGI Global 共同編著和編輯了多本書籍，並與 IOP 合作出版會議論文集。除了組織各種國內和國際活動，包括 2021 年的機電一體化與人工智慧國際會議 (ICMAI-2021)，Kumar 博士還擔任 2023 年人工智慧、先進材料和機電系統國際會議 (AIAMMS-2023) 的會議主席。他擁有超過 20 項國內外專利，並在 15 年的教學和研究經驗中指導了超過八名碩士和博士研究生以及眾多本科項目/論文。Kumar 博士是《可持續性前沿》等知名期刊的客座編輯和審稿編輯，並作為會議主席、專家演講者和編輯委員會成員參加了多個國際會議/研討會。在他的職業生涯中，Kumar 教授獲得了多項專業獎項，包括優異獎和最佳教師獎。他是 JECRC 大學 QCFI 德里分會學生小組的顧問，並撰寫了多本內部課程筆記、實驗手冊、專著和書籍中的邀請章節。此外，他還為研究人員、博士生、本科生和碩士生組織了一系列教師發展計劃、國際會議、研討會和工作坊，並與多個研究、學術和專業社團有關聯。
Deepak Dembla 博士 在 JECRC 大學擔任計算機應用學院的院長和系主任已有 9 年。他還是實習和認證的主任。Dembla 博士於 2004 年在旁遮普大學帕提亞拉獲得碩士學位 (M. Tech.)，並在古魯詹比斯瓦爾科技大學獲得博士學位 (Ph.D.)，該校是哈里亞納邦的 NAAC 認證 A 級國立大學。他擁有 22 年的經驗，專長於移動自組網、無線網絡、軟體工程、雲計算、人工智慧與機器學習。Dembla 博士在國際和國內知名期刊及會議上發表了 61 篇研究論文。他是多本國際期刊的編輯委員會成員，指導了十多名碩士生，並積極指導 10 名博士研究生。他還與多個專業國際社團如 ACM、IEEE、IAENG、IACSIT 有關聯，並已獲得 10 項專利，包括一項德國專利的授權。
Seema Tinker 博士 在數學系擔任教授，擁有超過 20 年的學術經驗。她於 2006 年在印度齋浦爾的拉賈斯坦大學獲得數學博士學位。她的研究工作包括相對論、流體動力學以及機器學習和深度學習。她在國內外的 SCOPUS/SCI 期刊上發表了超過 22 篇研究論文，並在各種國內外會議上發表了超過 20 篇論文。Tinker 博士參加了超過 23 次工作坊、教師發展計劃和短期課程，並撰寫了 3 本書籍，還獲得了 3 項印度專利。
Surbhi Bhatia Khan 博士 擁有計算機科學與工程的博士學位，專攻機器學習和社交媒體分析。她獲得了美國項目管理協會的項目管理專業認證。Khan 博士目前在英國曼徹斯特的薩爾福德大學數據科學系擔任講師，並在不同大學擁有超過 11 年的學術和教學經驗。Khan 博士在多個高影響力的期刊上發表了超過 100 篇論文，並擁有來自印度、澳大利亞和美國的約 12 項國際專利。她成功編著和編輯了 14 本書籍，並完成了來自沙烏地阿拉伯和印度的科學研究院及教育部的研究資助項目。她是 IEEE 的高級會員，也是 IEEE 年輕專業人士和 ACM 的成員。她主持了多個國際會議和工作坊，並在全球範圍內發表了超過 20 次邀請演講和主題演講。她的研究興趣包括資訊系統、情感分析、機器學習、數據庫和數據科學。
