Data Science for Effective Healthcare Systems
暫譯: 有效醫療系統的數據科學

Singh, Hari, Bhatt, Ravindara, Thakral, Prateek

  • 出版商: CRC
  • 出版日期: 2022-07-29
  • 售價: $4,840
  • 貴賓價: 9.5$4,598
  • 語言: 英文
  • 頁數: 214
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1032105682
  • ISBN-13: 9781032105680
  • 相關分類: Data Science
  • 海外代購書籍(需單獨結帳)

商品描述

Data Science for Effective Healthcare Systems has a prime focus on the importance of data science in the healthcare domain. Various applications of data science in the health care domain have been studied to find possible solutions. In this period of COVID-19 pandemic data science and allied areas plays a vital role to deal with various aspect of health care. Image processing, detection & prevention from COVID-19 virus, drug discovery, early prediction, and prevention of diseases are some thrust areas where data science has proven to be indispensable.

Key Features:

The book offers comprehensive coverage of the most essential topics, including:

  • Big Data Analytics, Applications & Challenges in Healthcare
  • Descriptive, Predictive and Prescriptive Analytics in Healthcare
  • Artificial Intelligence, Machine Learning, Deep Learning and IoT in Healthcare
  • Data Science in Covid-19, Diabetes, Coronary Heart Diseases, Breast Cancer, Brain Tumor

The aim of this book is also to provide the future scope of these technologies in the health care domain. Last but not the least, this book will surely benefit research scholar, persons associated with healthcare, faculty, research organizations, and students to get insights into these emerging technologies in the healthcare domain.

商品描述(中文翻譯)

有效醫療系統的數據科學》主要聚焦於數據科學在醫療領域的重要性。已經研究了數據科學在醫療領域的各種應用,以尋找可能的解決方案。在COVID-19疫情期間,數據科學及其相關領域在應對醫療的各個方面中扮演了至關重要的角色。影像處理、COVID-19病毒的檢測與預防、藥物發現、疾病的早期預測與預防等是數據科學被證明不可或缺的一些重點領域。

主要特點:

本書全面涵蓋了最重要的主題,包括:
- 醫療中的大數據分析、應用與挑戰
- 醫療中的描述性、預測性和規範性分析
- 醫療中的人工智慧、機器學習、深度學習和物聯網
- COVID-19、糖尿病、冠心病、乳腺癌、腦腫瘤中的數據科學

本書的目標還是提供這些技術在醫療領域的未來發展方向。最後但同樣重要的是,本書將確實使研究學者、與醫療相關的人士、教職員、研究機構及學生獲得對這些新興技術在醫療領域的深入了解。

作者簡介

Dr Hari Singh has been an Assistant Professor (Senior Grade) in the Department of Computer Science and Engineering and Information Technology at Jaypee University of Information Technology, Solan, HP, India since 2018. He has a PhD, MTech and B.Engg.(Honors) in Computer Science and Engineering. He earned his PhD degree from Thapar University, Patiala, Punjab, India in 2017. He has more than twenty years of teaching experience that includes significant administrative and research experience. His areas of interest are Databases, Data Science, Big Data Analytics, Distributed and Parallel Computing, Grid Computing, Cloud Computing, and Machine Learning. He has many awards, honors, and recognitions to his credit. He delivered several invited/expert talks on recent research topics at renowned institutes and universities. He has published several research papers in SCI/Scopus, peer-reviewed International Journals and book chapters. He has also presented and published many research papers in National/International Conferences. Dr Singh has also worked as an editor of proceedings of various International/National Conferences. He has attended/participated in several workshops at reputed Institutes/Universities/Organizations. He has organized several Conference/Seminar/Workshops. He has supervised Post Graduate Thesis/Dissertations and handled an AICTE sponsored research project under the RPS scheme and one consultancy project. He has been a member of professional societies, such as CSI, ISTE, IEEE, and has been a member/reviewer of several Scopus-Indexed journals.

Dr Ravindara Bhatt is an Associate Professor in the Department of Computer Science and Engineering and Information Technology at Jaypee University of Information Technology, Waknaghat, India. Ravindara joined the Department of Computer Science and Engineering and Information Technology, Jaypee University of Information Technology, in 2006. Ravindara earned his PhD degree from Indian Institute of Technology, Kharagpur. Dr Ravindara has over 20 years of extensive experience in Academics and Industry. His areas of interest are Data Science, Big Data, Machine Learning, and Wireless Sensor Networks. He has published several research papers in SCI/Scopus, peer-reviewed International Journals. He has also presented and published many research papers in National/International Conferences and is a reviewer for various renowned international journals.

Mr Prateek Thakral is currently an Assistant Professor in the Department of Computer Science and Engineering, Jaypee University of Information Technology, Waknaghat Solan. He has earned a B.Tech in Information Technology and an M.Tech in Computer Engineering from Kurukshetra University, Kurukshetra in 2010 and 2013, respectively. Before joining JUIT, he was an Assistant Professor (on contract) at the National Institute of Technology Kurukshetra for four years. He has 8 years of teaching experience in total. He has published about 10 research papers as various reputed book chapters, journals and international conferences. He is currently serving as a member of the Computer Society of India (CSI).

Dr Dinesh Chander Verma holds a PhD(CSE), MTech(IT), MCA and MPhilin in Computer Science. He has more than 17 years of teaching experience that includes significant administrative, research, and industrial exposure. He has delivered many expert talks, chaired sessions, and reviewed a good number of research articles. His areas of interest include Machine Learning, MANET, IoT, and Data Science. He is a Life Member of the Indian Society for Information Theory and Applications (ISITA). He has published several research articles, book chapters in Scopus/UGC Care/ESCI indexed journals. He has authored two books for UG courses and published one patent too. He has conducted several conferences/ seminars/ FDPs on recent emerging technologies and has mentored many industrial live projects on emerging technologies.

作者簡介(中文翻譯)

哈里·辛格博士自2018年以來一直擔任印度喜馬偉信息技術大學(Jaypee University of Information Technology)計算機科學與工程及信息技術系的助理教授(高級職級)。他擁有計算機科學與工程的博士學位、碩士學位(MTech)和榮譽學士學位(B.Engg.)。他於2017年在印度旁遮普邦的塔帕爾大學(Thapar University, Patiala)獲得博士學位。他擁有超過二十年的教學經驗,並具備顯著的行政和研究經驗。他的研究興趣包括數據庫、數據科學、大數據分析、分散式和並行計算、網格計算、雲計算以及機器學習。他獲得了許多獎項、榮譽和認可。他在知名機構和大學就近期研究主題發表了多次受邀/專家演講。他在SCI/Scopus的同行評審國際期刊和書籍章節上發表了多篇研究論文。他還在國內/國際會議上展示和發表了許多研究論文。辛格博士還擔任過各種國際/國內會議的會議論文集編輯。他參加/參與了多個知名機構/大學/組織的工作坊,並組織了多個會議/研討會/工作坊。他指導過研究生論文/畢業論文,並在AICTE資助的RPS計劃下處理了一個研究項目和一個顧問項目。他是計算機科學學會(CSI)、印度科技教育學會(ISTE)、電氣和電子工程師學會(IEEE)等專業學會的成員,並擔任過多本Scopus索引期刊的成員/審稿人。

拉文德拉·巴特博士是印度喜馬偉信息技術大學(Jaypee University of Information Technology)計算機科學與工程及信息技術系的副教授。拉文德拉於2006年加入該系。他在印度理工學院卡拉格普爾(Indian Institute of Technology, Kharagpur)獲得博士學位。拉文德拉博士在學術和工業界擁有超過20年的豐富經驗。他的研究興趣包括數據科學、大數據、機器學習和無線傳感器網絡。他在SCI/Scopus的同行評審國際期刊上發表了多篇研究論文,並在國內/國際會議上展示和發表了許多研究論文,還擔任多本知名國際期刊的審稿人。

普拉提克·塔克拉爾先生目前是印度喜馬偉信息技術大學(Jaypee University of Information Technology)計算機科學與工程系的助理教授。他於2010年和2013年分別在庫魯克謝特拉大學(Kurukshetra University)獲得信息技術的學士學位(B.Tech)和計算機工程的碩士學位(M.Tech)。在加入JUIT之前,他在庫魯克謝特拉國立技術學院(National Institute of Technology Kurukshetra)擔任了四年的合同助理教授。他總共擁有8年的教學經驗。他已發表約10篇研究論文,作為各種知名書籍章節、期刊和國際會議的論文。他目前是印度計算機學會(Computer Society of India, CSI)的成員。

迪內什·昌德·維爾瑪博士擁有計算機科學的博士學位(PhD(CSE))、信息技術的碩士學位(MTech(IT))、計算機應用碩士學位(MCA)和哲學碩士學位(MPhil)。他擁有超過17年的教學經驗,並具備顯著的行政、研究和工業經驗。他發表了許多專家演講,主持過會議,並審閱了大量研究文章。他的研究興趣包括機器學習、移動自組織網絡(MANET)、物聯網(IoT)和數據科學。他是印度信息理論與應用學會(ISITA)的終身會員。他在Scopus/UGC Care/ESCI索引期刊上發表了多篇研究文章和書籍章節,並為本科課程撰寫了兩本書籍,還獲得了一項專利。他舉辦了多個有關新興技術的會議/研討會/FDP,並指導了許多有關新興技術的工業實際項目。