Cover for Data Analytics in Biomedical Engineering and Healthcare

Data Analytics in Biomedical Engineering and Healthcare

Book2020

Edited by:

Kun Chang Lee, Sanjiban Sekhar Roy, ... Vijay Kumar

Data Analytics in Biomedical Engineering and Healthcare

Book2020

 

Cover for Data Analytics in Biomedical Engineering and Healthcare

Edited by:

Kun Chang Lee, Sanjiban Sekhar Roy, ... Vijay Kumar

About the book

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Book description

Data Analytics in Biomedical Engineering and Healthcare explores key applications using data analytics, machine learning, and deep learning in health sciences and biomedical data. ... read full description

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  1. Full text access
  2. Book chapterAbstract only

    1 - Estimate sequential poses for wireless endoscopic capsule based on encoder-decoder convolutional neural network toward autonomous navigation

    Navid Panchi, Mengya Xu, ... Hongliang Ren

    Pages 1-11

  3. Book chapterAbstract only

    2 - Interoperability issues in EHR systems: Research directions

    Sreenivasan M. and Anu Mary Chacko

    Pages 13-28

  4. Book chapterAbstract only

    3 - Difficulty with language comprehension and arithmetic word problems due to hearing impairment: Analysis and a possible remedy through a new Android-based assistive technology

    Sandipa Roy, Arpan Kumar Maiti, ... Kuntal Ghosh

    Pages 29-56

  5. Book chapterAbstract only

    4 - Machine learning in healthcare toward early risk prediction: A case study of liver transplantation

    Parag Chatterjee, Ofelia Noceti, ... Ricardo L. Armentano

    Pages 57-72

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    5 - Utilizing BERT for biomedical and clinical text mining

    Runjie Zhu, Xinhui Tu and Jimmy Xiangji Huang

    Pages 73-103

  7. Book chapterAbstract only

    6 - Classifying CT scan images based on contrast material and age of a person: ConvNets approach

    Soumik Mitra, Sanjiban Sekhar Roy and Kathiravan Srinivasan

    Pages 105-118

  8. Book chapterAbstract only

    7 - Data analytics in IOT-based health care

    Azadeh Zamanifar

    Pages 119-130

  9. Book chapterAbstract only

    8 - Application of PCA based unsupervised FE to neurodegenerative diseases

    Y.-H. Taguchi and Hsiuying Wang

    Pages 131-144

  10. Book chapterAbstract only

    9 - Disease diagnosis using machine learning: A comparative study

    Rakshit Jain, Asmita Chotani and G. Anuradha

    Pages 145-161

  11. Book chapterAbstract only

    10 - Driver drowsiness detection using heart rate and behavior methods: A study

    Anmol Wadhwa and Sanjiban Sekhar Roy

    Pages 163-177

  12. Book chapterAbstract only

    11 - Innovative classification, regression model for predicting various diseases

    B.K. Tripathy, M. Parimala and G. Thippa Reddy

    Pages 179-203

  13. Book chapterAbstract only

    12 - Clavicle bone segmentation from CT images using U-Net-based deep learning algorithm

    Parita Sanghani, Francis Wong and Hongliang Ren

    Pages 205-214

  14. Book chapterAbstract only

    13 - Accurate classification of heart sounds for disease diagnosis by using spectral analysis and deep learning methods

    Pratima Upretee and Mehmet Emin Yüksel

    Pages 215-232

  15. Book chapterAbstract only

    14 - Complex neutrosophic δ-equal concepts and their applications in water quality

    Prem Kumar Singh

    Pages 233-267

  16. Book chapterNo access

    Index

    Pages 269-278

About the book

Description

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.

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
  • 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

Details

ISBN

978-0-12-819314-3

Language

English

Published

2020

Copyright

Copyright © 2021 Elsevier Inc. All rights reserved.

Imprint

Academic Press

Editors

Kun Chang Lee

Professor, SKK Business School, Sungkyunkwan University, Seoul, Korea

Sanjiban Sekhar Roy

Associate Professor, School of Computer Science and Engineering, VIT University, Vellore, Tamil Nadu, India

Pijush Samui

Associate Professor, Department of Civil Engineering, NIT Patna, Patna, Bihar, India

Vijay Kumar

Associate Professor, School of Electronics Engineering, VIT University, Vellore, Tamil Nadu, India