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  • Book
  • © 2014

Machine Learning in Healthcare Informatics

Editors:

  1. Sumeet Dua

    1. Department of Computer Science, Louisiana Tech University, Ruston, USA

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    You can also search for this editor in PubMed   Google Scholar

  2. U. Rajendra Acharya

    1. Ngee Ann Polytechnic, Singapore, Singapore

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    You can also search for this editor in PubMed   Google Scholar

  3. Prerna Dua

    1. Department of Health Informatics and Information Management, Louisiana Tech University, Ruston, USA

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  • Provides a unique compendium of current and emerging machine learning paradigms for healthcare informatics
  • First reference in the interdisciplinary area of healthcare informatics and machine learning
  • Written by leading experts in the field
  • Includes supplementary material: sn.pub/extras

Part of the book series: Intelligent Systems Reference Library (ISRL, volume 56)

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Table of contents (14 chapters)

  1. Front Matter

    Pages i-xii
    PDF

  2. Introduction to Machine Learning in Healthcare Informatics

    • Pradeep Chowriappa, Sumeet Dua, Yavor Todorov
    Pages 1-23

  3. Wavelet-based Machine Learning Techniques for ECG Signal Analysis

    • Roshan Joy Martis, Chandan Chakraborty, Ajoy Kumar Ray
    Pages 25-45

  5. The Application of Genetic Algorithm for Unsupervised Classification of ECG

    • Roshan Joy Martis, Hari Prasad, Chandan Chakraborty, Ajoy Kumar Ray
    Pages 65-80

  7. Understanding Foot Function During Stance Phase by Bayesian Network Based Causal Inference

    • Myagmarbayar Nergui, Jun Inoue, Murai Chieko, Wenwei Yu, U. Rajendra Acharya
    Pages 113-129

  9. Machine Learning Techniques for AD/MCI Diagnosis and Prognosis

    • Dinggang Shen, Chong-Yaw Wee, Daoqiang Zhang, Luping Zhou, Pew-Thian Yap
    Pages 147-179

  10. Using Machine Learning to Plan Rehabilitation for Home Care Clients: Beyond “Black-Box” Predictions

    • Mu Zhu, Lu Cheng, Joshua J. Armstrong, Jeff W. Poss, John P. Hirdes, Paul Stolee
    Pages 181-207

  11. Clinical Utility of Machine Learning and Longitudinal EHR Data

    • Walter F. Stewart, Jason Roy, Jimeng Sun, Shahram Ebadollahi
    Pages 209-227

  12. Rule-based Computer Aided Decision Making for Traumatic Brain Injuries

    • Ashwin Belle, Soo-Yeon Ji, Wenan Chen, Toan Huynh, Kayvan Najarian
    Pages 229-259

  15. A Selection and Reduction Approach for the Optimization of Ultrasound Carotid Artery Images Segmentation

    • Samanta Rosati, Gabriella Balestra, Filippo Molinari, U. Rajendra Acharya, Jasjit S. Suri
    Pages 309-332
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About this book

The book is a unique effort to represent a variety of techniques designed to represent, enhance, and empower multi-disciplinary and multi-institutional machine learning research in healthcare informatics. The book provides a unique compendium of current and emerging machine learning paradigms for healthcare informatics and reflects the diversity, complexity and the depth and breath of this multi-disciplinary area. The integrated, panoramic view of data and machine learning techniques can provide an opportunity for novel clinical insights and discoveries.

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Keywords

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Editors and Affiliations

  • Department of Computer Science, Louisiana Tech University, Ruston, USA

    Sumeet Dua

  • Ngee Ann Polytechnic, Singapore, Singapore

    U. Rajendra Acharya

  • Department of Health Informatics and Information Management, Louisiana Tech University, Ruston, USA

    Prerna Dua

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Bibliographic Information

  • Book Title: Machine Learning in Healthcare Informatics

  • Editors: Sumeet Dua, U. Rajendra Acharya, Prerna Dua

  • Series Title: Intelligent Systems Reference Library

  • DOI: https://doi.org/10.1007/978-3-642-40017-9

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer-Verlag Berlin Heidelberg 2014

  • Hardcover ISBN: 978-3-642-40016-2Published: 27 December 2013

  • Softcover ISBN: 978-3-662-50763-6Published: 03 September 2016

  • eBook ISBN: 978-3-642-40017-9Published: 09 December 2013

  • Series ISSN: 1868-4394

  • Series E-ISSN: 1868-4408

  • Edition Number: 1

  • Number of Pages: XII, 332

  • Number of Illustrations: 69 b/w illustrations, 50 illustrations in colour

  • Topics: Computational Intelligence, Artificial Intelligence

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Buy it now

eBook USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

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