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Data Analytics in Biomedical Engineering and Healthcare - 1st Edition - ISBN: 9780128193143

Data Analytics in Biomedical Engineering and Healthcare

1st Edition

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Editors: Kun Lee Sanjiban Sekhar Roy Pijush Samui Vijay Kumar
Paperback ISBN: 9780128193143
Imprint: Academic Press
Published Date: 1st October 2020
Page Count: 220
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Data Analytics in Biomedical Engineering and Healthcare explores key applications using data analytics, machine learning, and deep learning in health sciences and biomedical data. The book is useful for those working with big data analytics in biomedical research, medical industries, and medical research scientists. The book covers health analytics, data science, and machine and deep learning applications for biomedical data, covering areas such as predictive health analysis, electronic health records, medical image analysis, computational drug discovery, and genome structure prediction using predictive modeling. Case studies demonstrate big data applications in healthcare using the MapReduce and Hadoop frameworks.

Key Features

  • Examines the development and application of data analytics applications in biomedical data
  • Presents innovative classification and regression models for predicting various diseases
  • Discusses genome structure prediction using predictive modeling
  • Shows readers how to develop clinical decision support systems
  • Shows researchers and specialists how to use hybrid learning for better medical diagnosis, including case studies of healthcare applications using the MapReduce and Hadoop frameworks


Biomedical engineers, computer/data scientists, researchers and software engineers in the areas of data analytics, Artificial Intelligence, and machine learning

Table of Contents

1. Data analytics applications in biomedical data
2. Predictive Health Analysis
3. Exploration of EHR (Electronic Health Records) using data science
4. Machine Learning and Deep Learning application on medical image analysis
5. Developing Clinical Decision Support System
6. Innovative Classification, Regression Model for predicting various diseases
7. Computational Drug Discovery using State of the Art Unsupervised learning
8. Genome Structure prediction using Predictive modelling
9. Hybrid learning for better medical diagnosis
10. Big data application in healthcare under MapReduce and Hadoop frameworks


No. of pages:
© Academic Press 2021
1st October 2020
Academic Press
Paperback ISBN:

About the Editors

Kun Lee

1995-To date Full Professor SKK Business School Sungkyunkwan University Responsible for teaching Business Datamining, MIS (Management Information Systems), and Internet Business Models in undergraduate and graduate. I conduct several director positions for executive programs with Samsung Group. I am the quadruple winner of “The Sungkyunkwan University Outstanding Research Award”. In 2006 I received the university's highest research honor, “The Sungkyunkwan University Fellow Award" in recognition of extraordinary accomplishment in research and scholarship. Accordingly, I was honorably included in the Hall of Fame of the SKK Business School in 2007.

Affiliations and Expertise

Professor, SKK Business School, Sungkyunkwan University

Sanjiban Sekhar Roy

Sanjiban Sekhar Roy is an Associate Professor in the School of Computer Science and Engineering, Vellore Institute of Technology. He joined VIT in the year 2009 as an Asst. Professor. His research interests include Deep Learning and advanced machine learning. He has published around 50 articles in a reputed international journal (with SCI impact factors) and conferences. He also is editorial board members to a handful of international journals and reviewer to many highly reputed journals such as Neural processing letters, Springer , IEEE Access: The Multidisciplinary Open Access Journal, Computers & Security, Elsevier , International Journal of Advanced Intelligence Paradigms, Inderscience International publishers, International Journal of Artificial Intelligence and Soft Computing, Inderscience International publishers,Ad Hoc Networks, Elsevier, Evolutionary Intelligence, Springer, Journal of Ambient Intelligence and Humanized Computing, Springer, Iranian Journal of Science and Technology, Transactions of Electrical Engineering, Springer. He uses Deep Learning and machine learning techniques to solve many complex engineering problems, especially those are related to imagery. He is specialized in deep convolutional neural networks and generative adversarial network. Dr. Roy also has edited many books with reputed interntional publishers such as elsevier,springer and IGI Global. Very recently, Ministry of National Education, Romania in collaboration with "Aurel Vlaicu" University Arad Faculty of Engineers, Romania has awarded Dr. Roy with "Diploma of Excellence" as a sign of appreciation for the special achievements obtained in the scientific research activity in 2019.

Affiliations and Expertise

Associate Professor in School of Computer Science and Engineering, Vellore Institute of Technology

Pijush Samui

Professor Pijush Samui is currently an Associate Professor at National Institute of Technology, Patna, India. He is an established researcher in the application of Artificial Intelligence (AI) for solving different problems in engineering. He developed a new method for prediction of response of soil during an earthquake. He has given charts for prediction of response of soil during an earthquake and developed equations for prediction of lateral spreading of soil due to earthquake. He developed equations for determination of seismic liquefaction potential of soil based on strain energy and prediction of seismic attenuation. He developed efficient models for prediction of magnitude of reservoir induced earthquake. He has developed models for determination of medical waste generation in hospitals with equations used for practical purpose. The developed models can be used for clean India project. He determined frequency effects on liquefaction by using Shake Table. He has applied AI techniques for determination of bearing capacity and settlement of foundation and equations for determination of bearing capacity and settlement of shallow foundation. He also developed equations for determination of compression index and angle of shearing resistance of soil. he developed equations for prediction of uplift capacity of suction caisson. He also developed equations for determination of fracture parameters of concrete. His active research activity is evident from his extensive citation of publications in google scholar (total frequency of 1280) with H-Index of 22. Dr Samui has published journal papers, books/book chapters and peer reviewed conference papers that involved co-authors from Australia, India, Korea and several other nations. He is also holding the position of Visiting Professor at Far East Federal University (Russia).

Affiliations and Expertise

Associate Professor, National Institute of Technology, Patna, India

Vijay Kumar

Dr. Vijay Kumar is working as an Assistant Professor in the Department of Physics at National Institute of Technology, Srinagar, J&K, India. During the last ten years of his research career, he has published more than 70 research papers in various reputed international journals, with more than 2550 citations. His current research involves the synthesis and spectroscopic investigations of rare earth doped nanomaterials, nanocomposites, and hybrid materials to make color tunable emission in solid-state lighting and white light LEDs. He is also working on the synthesis and characterization of a biomaterial with electro-conductive properties that could be used in biomedical applications with better biocompatibility.

Affiliations and Expertise

Assistant Professor in the Department of Physics at National Institute of Technology, Srinagar, J&K, India

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