Machine Learning for Healthcare by Dac-Nhuong Le
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Machine Learning for Healthcare

Machine Learning for Healthcare


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About the Book

Machine Learning for Healthcare: Handling and Managing Data provides in-depth information about handling and managing healthcare data through machine learning methods. This book expresses the long-standing challenges in healthcare informatics and provides rational explanations of how to deal with them.

Machine Learning for Healthcare: Handling and Managing Data provides techniques on how to apply machine learning within your organization and evaluate the efficacy, suitability, and efficiency of machine learning applications. These are illustrated in a case study which examines how chronic disease is being redefined through patient-led data learning and the Internet of Things. This text offers a guided tour of machine learning algorithms, architecture design, and applications of learning in healthcare. Readers will discover the ethical implications of machine learning in healthcare and the future of machine learning in population and patient health optimization. This book can also help assist in the creation of a machine learning model, performance evaluation, and the operationalization of its outcomes within organizations. It may appeal to computer science/information technology professionals and researchers working in the area of machine learning, and is especially applicable to the healthcare sector.

The features of this book include:

  • A unique and complete focus on applications of machine learning in the healthcare sector.
  • An examination of how data analysis can be done using healthcare data and bioinformatics.
  • An investigation of how healthcare companies can leverage the tapestry of big data to discover new business values.
  • An exploration of the concepts of machine learning, along with recent research developments in healthcare sectors.

  • About the Author:

    Rashmi Agrawal is a Professor in the Department of

    Computer Applications in MRIIRS, Faridabad. Dr.

    Agrawal has a rich teaching experience of more than 17

    years. She is UGC-NET(CS) qualified, and has completed

    a PhD, M. Phil, M. Tech, MSc, and MBA(IT). Her

    PhD focused on the area of machine learning, and her

    areas of expertise include Artificial Intelligence,

    Machine Learning, Data Mining, and Operating

    Systems. She has published more than 30 research

    papers in various national and international conferences and journals, and

    has authored many published books and chapters. She has organized various

    faculty development programs and has also directly participated in

    workshops and faculty development programmes. She is actively involved

    in research activities, and is a lifetime member of Computer Society of India.

    She has been a member of the technical programme committee of various

    reputable conferences.

    Jyotir Moy Chatterjee is an Assistant Professor at the

    IT Department of Lord Buddha Education Foundation

    (Asia Pacific University of Technology and Innovation),

    Kathmandu, Nepal. Prior to this he has worked as an

    Assistant Professor at the CSE Department of GD Rungta

    College of Engineering and Technology (CSVTU),

    Bhilai, India. He has completed an M. Tech in Computer

    Science and Engineering from Kalinga Institute of

    Industrial Technology, Bhubaneswar, Odisha and a B.

    Tech in Computer Science and Engineering from Dr.

    MGR Educational and Research Institute, Chennai. He has published 40

    international research papers, two international conference papers, authored

    four books, edited eight books, written 11 book chapters and has one patent

    to his account. His research interests include cloud computing, big data,

    privacy preservation, data mining, the Internet of Things, machine learning,

    and blockchain technology. He is a member of various professional societies

    and international conferences.

    Abhishek Kumar has a PhD in computer science from

    University of Madras and an M. Tech in computer science

    and engineering from Government Engineering

    College Ajmer at Rajasthan Technical University, Kota,

    India. He has over eight years of experience in academic

    teaching and has been published more than 55 times in

    reputed, peer-reviewed national and international journals,

    books and conferences (such as by Wiley, Taylor &

    Francis, Springer, Elsevier, Science Direct, Inderscience, Annals of Computer

    Science, Poland, and IEEE). His research areas include: Artificial Intelligence,

    image processing, computer vision, data mining, and machine learning. He

    has also been on the international conference committees of many international

    conferences, and is currently serving as a reviewer for IEEE and

    Inderscience journals. He has authored six internationally published books

    and has edited 11 books with Wiley, IGI GLOBAL, Springer, Apple Academic

    Press, CRC, and more. He is also member of various national and international

    professional societies in the field of engineering and research including

    being a member of IEEE, ISOC (Internet Society)); IAIP (International

    Association of Innovation Professionals), ICSES (International Computer

    Science and Engineering Society) IAENG (International Association of

    Engineers); an associate member of IRED (Institute of Research Engineers

    and Doctors; a life member of ISRD (International Society for research &

    Development); and an editorial board member of IOSRD. He has received the

    national Sir CV Raman lifetime achievement award in 2018 in the young

    researcher and faculty category.

    Pramod Singh Rathore is currently pursuing his PhD

    in computer science and engineering at Bundelkhand

    University and is conducting ongoing research on networking.

    He has an M. Tech in computer science and

    engineering from Government Engineering College

    Ajmer, at Rajasthan Technical University, Kota, India.

    He has been working as an Assistant Professor of the

    Computer Science and Engineering Department at

    Aryabhatt Engineering College and Research Centre,

    Ajmer, Rajasthan and is also a visiting faculty at Government University

    MDS Ajmer. He has over eight years of experience in academic teaching

    and has been published more than 45 times in reputed, peer-reviewed

    national and international journals, books and conferences (such as Wiley,

    IGI GLOBAL, Taylor & Francis, Springer, Elsevier, Science Direct, Annals of

    Computer Science, Poland, and IEEE). He has co-authored and edited many

    books with many reputed publishers like Wiley, and CRC Press, USA. His

    research areas include: NS2, computer networks, mining, and DBMS.

    Dac-Nhuong Le has a PhD and is Deputy-Head of

    the Faculty of Information Technology at Haiphong

    University, Vietnam and Vice-Director of Information

    Technology at the Apply Center of the same university.

    He is a research scientist at the Research and

    Development Center of Visualization & Simulation in

    (CSV), Duy Tan University, Danang, Vietnam. He has

    more than 45 publications in the reputed international

    conferences, journals, and online book chapter contributions

    (indexed by: SCI, SCIE, SSCI, Scopus, ACM, and

    DBLP). His areas of research include: evaluation computing and approximate

    algorithms, network communication, security and vulnerability,

    network performance analysis and simulation, cloud computing, and biomedical

    image processing. His core work is in network security, wireless,

    soft computing, mobile computing and biomedical technology. Recently, he

    has been on a technical program committee, a technical reviewer, and the

    track chair for international conferences such as: FICTA 2014, CSI 2014, IC4SD

    2015, ICICT 2015, INDIA 2015, IC3T 2015, INDIA 2016, FICTA 2016, IC3T 2016,

    ICDECT 2016, IUKM 2016, INDIA 2017, FICTA 2017, CISC 2017, ICICC 2018,

    ICCUT 2018 under the Springer-ASIC/LNAI/CISC Series. Presently, he is

    serving on the editorial board of international journals and he has authored

    six computer science books (published by Springer, Wiley, CRC Press,

    Lambert Publication, VSRD Academic Publishing, and Scholar Press).


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Product Details
  • ISBN-13: 9780367352332
  • Publisher: Taylor and Francis
  • Publisher Imprint: CRC Press
  • Height: 234 mm
  • No of Pages: 204
  • Spine Width: 14 mm
  • Weight: 539 gr
  • ISBN-10: 0367352338
  • Publisher Date: 09 Dec 2020
  • Binding: Hardback
  • Language: English
  • Returnable: N
  • Sub Title: Handling and Managing Data
  • Width: 156 mm


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