Deep Learning in Biomedical and Health Informatics: Current Applications and Possibilities
暫譯: 生物醫學與健康資訊中的深度學習：當前應用與可能性
Jabbar, M. A., Abraham, Ajith, Dogan, Onur
- 出版商: CRC
- 出版日期: 2021-09-27
- 售價: $4,890
- 貴賓價: 9.5 折 $4,646
- 語言: 英文
- 頁數: 202
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 0367726041
- ISBN-13: 9780367726041
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相關分類:
DeepLearning
海外代購書籍(需單獨結帳)
商品描述
This book provides a proficient guide on the relationship between Artificial Intelligence (AI) and healthcare and how AI is changing all aspects of the healthcare industry. It also covers how deep learning will help in diagnosis and the prediction of disease spread. The editors present a comprehensive review of research applying deep learning in health informatics in the fields of medical imaging, electronic health records, genomics, and sensing, and highlights various challenges in applying deep learning in health care. This book also includes applications and case studies across all areas of AI in healthcare data. The editors also aim to provide new theories, techniques, developments, and applications of deep learning, and to solve emerging problems in healthcare and other domains. This book is intended for computer scientists, biomedical engineers, and healthcare professionals researching and developing deep learning techniques.
In short, the volume:
- Discusses the relationship between AI and healthcare, and how AI is changing the health care industry.
- Considers uses of deep learning in diagnosis and prediction of disease spread.
- Presents a comprehensive review of research applying deep learning in health informatics across multiple fields.
- Highlights challenges in applying deep learning in the field.
- Promotes research in ddeep llearning application in understanding the biomedical process.
Dr.. M.A. Jabbar is a professor and Head of the Department AI&ML, Vardhaman College of Engineering, Hyderabad, Telangana, India.
Prof. (Dr.) Ajith Abraham is the Director of Machine Intelligence Research Labs (MIR Labs), Auburn, Washington, USA.
Dr.. Onur Dogan is an assistant professor at İzmir Bakırçay University, Turkey.
Prof. Dr. Ana Madureira is the Director of The Interdisciplinary Studies Research Center at Instituto Superior de Engenharia do Porto (ISEP), Portugal.
Dr.. Sanju Tiwari is a senior researcher at Universidad Autonoma de Tamaulipas, Mexico.
商品描述(中文翻譯)
這本書提供了一個關於人工智慧（Artificial Intelligence, AI）與醫療保健之間關係的專業指南，以及AI如何改變醫療產業的各個方面。書中還涵蓋了深度學習如何協助診斷和預測疾病擴散。編輯們對應用深度學習於健康資訊學的研究進行了全面的回顧，涵蓋醫學影像、電子健康紀錄、基因組學和感測等領域，並突顯了在醫療保健中應用深度學習所面臨的各種挑戰。本書還包括了AI在醫療數據各個領域的應用和案例研究。編輯們的目標是提供深度學習的新理論、技術、發展和應用，並解決醫療保健及其他領域中出現的問題。本書適合研究和開發深度學習技術的計算機科學家、生物醫學工程師和醫療專業人員。
簡而言之，本書的內容包括：
- 討論AI與醫療保健之間的關係，以及AI如何改變醫療產業。
- 考慮深度學習在診斷和疾病擴散預測中的應用。
- 提供對於在多個領域中應用深度學習於健康資訊學的研究的全面回顧。
- 突顯在該領域中應用深度學習所面臨的挑戰。
- 促進在理解生物醫學過程中應用深度學習的研究。
M.A. Jabbar博士是印度海得拉巴Vardhaman工程學院人工智慧與機器學習系的教授及系主任。
Ajith Abraham教授（博士）是美國華盛頓州奧本市機器智慧研究實驗室（MIR Labs）的主任。
Onur Dogan博士是土耳其伊茲密爾巴基爾查伊大學的助理教授。
Ana Madureira教授（博士）是葡萄牙波爾圖高等工程學院（ISEP）跨學科研究中心的主任。
Sanju Tiwari博士是墨西哥塔毛利帕斯自治大學的高級研究員。
作者簡介
Dr. M. A. JABBAR is a Professor and Head of the Department AI&ML, Vardhaman College of Engineering, Hyderabad, Telangana, India.
Dr Ajith Abraham is the Chair of IEEE Systems Man and Cybernetics Society Technical Committee on Soft Computing and a Distinguished Lecturer of IEEE Computer Society representing Europe (2011-2013).
Dr. Onur Dogan is an assistant professor at Izmir Bakircay University.
Dr Ana Madureira has a PhD degree in Production and Systems from University of Minho, Portugal.
Dr. Sanju Tiwari is a Senior Researcher at Universidad Autonoma de Tamaulipas, Mexico.
作者簡介(中文翻譯)
Dr. M. A. JABBAR 是印度泰倫加納邦海得拉巴 Vardhaman 工程學院人工智慧與機器學習系的教授及系主任。
Dr. Ajith Abraham 是 IEEE 系統人與控制論學會軟體計算技術委員會的主席，並且是 IEEE 計算機學會的傑出講師，代表歐洲（2011-2013）。
Dr. Onur Dogan 是伊茲密爾巴基爾賽大學的助理教授。
Dr. Ana Madureira 擁有葡萄牙米尼奧大學生產與系統的博士學位。
Dr. Sanju Tiwari 是墨西哥塔毛利帕斯自治大學的高級研究員。
