Bioinformatics and Medical Applications: Big Data Using Deep Learning Algorithms
暫譯: 生物資訊學與醫療應用：使用深度學習演算法的大數據
Suresh, A., Vimal, S., Robinson, Y. Harold
- 出版商: Wiley-Scrivener
- 出版日期: 2022-04-12
- 售價: $7,560
- 貴賓價: 9.5 折 $7,182
- 語言: 英文
- 頁數: 352
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1119791839
- ISBN-13: 9781119791836
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相關分類:
DeepLearning、Data-mining
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商品描述
The main topics addressed in this book are big data analytics problems in bioinformatics research such as microarray data analysis, sequence analysis, genomics-based analytics, disease network analysis, techniques for big data analytics, and health information technology.
Bioinformatics and Medical Applications: Big Data Using Deep Learning Algorithms analyses massive biological datasets using computational approaches and the latest cutting-edge technologies to capture and interpret biological data. The book delivers various bioinformatics computational methods used to identify diseases at an early stage by assembling cutting-edge resources into a single collection designed to enlighten the reader on topics focusing on computer science, mathematics, and biology. In modern biology and medicine, bioinformatics is critical for data management. This book explains the bioinformatician's important tools and examines how they are used to evaluate biological data and advance disease knowledge.
The editors have curated a distinguished group of perceptive and concise chapters that presents the current state of medical treatments and systems and offers emerging solutions for a more personalized approach to healthcare. Applying deep learning techniques for data-driven solutions in health information allows automated analysis whose method can be more advantageous in supporting the problems arising from medical and health-related information.
Audience
The primary audience for the book includes specialists, researchers, postgraduates, designers, experts, and engineers, who are occupied with biometric research and security-related issues.
商品描述(中文翻譯)
生物資訊學與醫療應用
本書主要探討生物資訊研究中的大數據分析問題，例如微陣列數據分析、序列分析、基於基因組的分析、疾病網絡分析、大數據分析技術以及健康資訊技術。
生物資訊學與醫療應用：使用深度學習演算法的大數據 利用計算方法和最新的尖端技術分析大量生物數據集，以捕捉和解釋生物數據。本書提供各種生物資訊計算方法，這些方法用於在早期階段識別疾病，並將尖端資源整合成一個單一的集合，旨在啟發讀者了解聚焦於計算機科學、數學和生物學的主題。在現代生物學和醫學中，生物資訊學對數據管理至關重要。本書解釋了生物資訊學家的重要工具，並檢視這些工具如何用於評估生物數據並推進疾病知識。
編輯們精心策劃了一組卓越且簡明的章節，展示了當前醫療治療和系統的狀態，並提供了針對更個性化醫療方法的新興解決方案。應用深度學習技術於健康資訊中的數據驅動解決方案，允許自動化分析，其方法在支持醫療和健康相關資訊所產生的問題上可能更具優勢。
讀者對象
本書的主要讀者包括專家、研究人員、研究生、設計師、專業人士和工程師，他們專注於生物識別研究和安全相關問題。
作者簡介
A. Suresh, PhD is an associate professor, Department of the Networking and Communications, SRM Institute of Science & Technology, Kattankulathur, Tamil Nadu, India. He has nearly two decades of experience in teaching and his areas of specialization are data mining, artificial intelligence, image processing, multimedia, and system software. He has published 6 patents and more than 100 papers in international journals.
S. Vimal, PhD is an assistant professor in the Department of Artificial Intelligence & DS, Ramco Institute of Technology, Tamilnadu, India. He is the editor of 3 books and guest-edited multiple journal special issues. He has more than 15 years of teaching experience.
Y. Harold Robinson, PhD is currently working in the School of Technology and Engineering, Vellore Institute of Technology, Vellore, India. He has published more than 50 papers in various international journals and presented more than 70 papers in both national and international conferences.
Dhinesh Kumar Ramaswami, BE in Computer Science, is a Senior Consultant at Capgemini America Inc. He has over 9 years of experience in software development and specializes in various .net technologies. He has published more than 15 papers in international journals and national and international conferences.
R. Udendhran, PhD is an assistant professor, Department of Computer Science and Engineering at Sri Sairam Institute of Technology, Chennai, Tamil Nadu, India. He has published about 20 papers in international journals.
作者簡介(中文翻譯)
A. Suresh, PhD 是印度泰米爾納德邦Kattankulathur的SRM科學與技術研究所網路與通訊系的副教授。他擁有近二十年的教學經驗，專長領域包括資料探勘、人工智慧、影像處理、多媒體及系統軟體。他已發表6項專利及超過100篇國際期刊論文。
S. Vimal, PhD 是印度泰米爾納德邦Ramco科技學院人工智慧與資料科學系的助理教授。他是3本書的編輯，並擔任多個期刊特刊的客座編輯。他擁有超過15年的教學經驗。
Y. Harold Robinson, PhD 目前在印度維洛爾科技學院的技術與工程學院工作。他已在各類國際期刊上發表超過50篇論文，並在國內外會議上發表超過70篇論文。
Dhinesh Kumar Ramaswami，計算機科學學士，現任Capgemini America Inc.的高級顧問。他在軟體開發方面擁有超過9年的經驗，專精於各種 .net 技術。他已在國際期刊及國內外會議上發表超過15篇論文。
R. Udendhran, PhD 是印度錫爾薩伊拉姆科技學院計算機科學與工程系的助理教授。他已在國際期刊上發表約20篇論文。
