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Machine Learning in Healthcare Informatics

  • Book
  • © 2014

Overview

Editors:
  1. Sumeet Dua

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

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  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

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    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
    Download chapter 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

  4. Application of Fuzzy Logic Control for Regulation of Glucose Level of Diabetic Patient

    • K. Y. Zhu, W. D. Liu, Y. Xiao
    Pages 47-64

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

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

  6. Pixel-based Machine Learning in Computer-Aided Diagnosis of Lung and Colon Cancer

    • Kenji Suzuki
    Pages 81-112

  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

  8. Rule Learning in Healthcare and Health Services Research

    • Janusz Wojtusiak
    Pages 131-145

  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

  13. Supervised Learning Methods for Fraud Detection in Healthcare Insurance

    • Prerna Dua, Sonali Bais
    Pages 261-285

  14. Feature Extraction by Quick Reduction Algorithm: Assessing the Neurovascular Pattern of Migraine Sufferers from NIRS Signals

    • Samanta Rosati, Gabriella Balestra, Filippo Molinari
    Pages 287-307

  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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Keywords

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.

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

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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