商品描述
This book presents a systematic evolution of artificial intelligence (AI), its applications, challenges and solutions in the field of healthcare. The book mainly covers the foundations and various methods of learning in artificial intelligence with its application in healthcare industry. This book provides a comprehensive introduction to data analysis using AI as a tool in the generation, normalization and analysis of healthcare data in association with several evaluation techniques and accuracy measurements. The book is divided into three major sections describing the basic foundations of AI and its associated algorithms, history of artificial intelligence in healthcare, recent developments and several modeling techniques for the same. The last section of the book provides insights into several implementations and methods of evaluation and accuracy prediction for healthcare analysis in AI. Extensive use of data for analysis and prediction using several technologies has transformed thelives of normal people indirectly effecting our process to communicate, learn, work and socialize within the society. Thus, the book also provides an insight into the ethics of AI that is very vital in the process of implementation and evaluation of healthcare data. The book provides an organized analysis to a considerable part of data in a digitized society. In view of this, it covers the theory, methodology, perfection and verification of empirical work for health-related data processing. Particular attention is devoted to in-depth experiments and applications.
商品描述(中文翻譯)
本書系統性地介紹了人工智慧（AI）的演變、應用、挑戰及其在醫療領域的解決方案。書中主要涵蓋了人工智慧的基礎知識及各種學習方法，並探討其在醫療產業中的應用。本書提供了使用AI作為工具進行數據分析的全面介紹，包括醫療數據的生成、標準化和分析，並結合多種評估技術和準確性測量。全書分為三個主要部分，描述了AI的基本基礎及其相關算法、人工智慧在醫療領域的歷史、近期發展及多種建模技術。書的最後一部分提供了對於AI在醫療分析中的多種實施方法及準確性預測的見解。廣泛使用數據進行分析和預測，透過多種技術已經改變了普通人的生活，間接影響了我們在社會中溝通、學習、工作和社交的方式。因此，本書也探討了AI的倫理問題，這在醫療數據的實施和評估過程中至關重要。本書對數位社會中相當一部分數據進行了有組織的分析。鑒於此，書中涵蓋了健康相關數據處理的理論、方法論、完善性及實證工作的驗證。特別關注深入的實驗和應用。
作者簡介
Dr. Jyotismita Talukdar is presently working as Assistant Professor in the dept. Of Computer Science and Engineering at Tezpur University, Assam, India. She has been actively associated in teaching and several research areas such as data science and machine learning algorithms. She obtained her Ph.D. in 2018 from Gauhati University, Assam, and master's from Asian Institute of Technology, Thailand in 2013. She carries 9 years of teaching experience and has authored a large number of research papers and several books.
Dr. Thipendra. P. Singhis currently working as Professor at School of Computer Science Engineering & Technology, Bennett University, Greater Noida, India. He holds Doctorate in Computer Science from Jamia Millia Islamia University, New Delhi, and carries 27 years of teaching and industry experience. Dr. Singh is a senior member of IEEE and member of various other professional bodies including IEI, ACM, EAI, ISTE, IAENG etc. He has been editor of 10 books on various allied topics of Computer Science and published around 50 research papers in high quality journals.
Mr. Basanta Barman is currently working as System Administrator at Assam Science and Technology University, Assam, India. Prior to this, he has 11 years of experience in TCS performing various roles as Database Administrator, Data Analyst, IT/System Analyst, etc. An Oracle Certified Associate who worked with various projects of different regions like India, South Africa and Canada, he is very keen in upcoming new technologies.
作者簡介(中文翻譯)
Dr. Jyotismita Talukdar 目前在印度阿薩姆邦的 Tezpur University 計算機科學與工程系擔任助理教授。她積極參與教學及多個研究領域，如數據科學和機器學習算法。她於 2018 年在 Gauhati University 獲得博士學位，並於 2013 年在泰國亞洲科技大學獲得碩士學位。她擁有 9 年的教學經驗，並撰寫了大量研究論文和幾本書籍。
Dr. Thipendra P. Singh 目前在印度大諾伊達的 Bennett University 計算機科學工程與技術學院擔任教授。他在新德里的 Jamia Millia Islamia University 獲得計算機科學博士學位，擁有 27 年的教學和產業經驗。Dr. Singh 是 IEEE 的資深會員，並且是 IEI、ACM、EAI、ISTE、IAENG 等多個專業機構的成員。他擔任過 10 本有關計算機科學相關主題的書籍編輯，並在高品質期刊上發表了約 50 篇研究論文。
Mr. Basanta Barman 目前在印度阿薩姆科技大學擔任系統管理員。在此之前，他在 TCS 擁有 11 年的經驗，擔任過數據庫管理員、數據分析師、IT/系統分析師等多個角色。他是一名 Oracle 認證助理，曾參與印度、南非和加拿大等不同地區的各種項目，對新興技術非常感興趣。
