Machine Learning in Healthcare Informatics

✍ Scribed by Pradeep Chowriappa, Sumeet Dua, Yavor Todorov (auth.), Sumeet Dua, U. Rajendra Acharya, Prerna Dua (eds.)

Publisher: Springer-Verlag Berlin Heidelberg
Year: 2014
Tongue: English
Leaves: 334
Series: Intelligent Systems Reference Library 56
Edition: 1
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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.

✦ Table of Contents

Front Matter....Pages i-xii
Introduction to Machine Learning in Healthcare Informatics....Pages 1-23
Wavelet-based Machine Learning Techniques for ECG Signal Analysis....Pages 25-45
Application of Fuzzy Logic Control for Regulation of Glucose Level of Diabetic Patient....Pages 47-64
The Application of Genetic Algorithm for Unsupervised Classification of ECG....Pages 65-80
Pixel-based Machine Learning in Computer-Aided Diagnosis of Lung and Colon Cancer....Pages 81-112
Understanding Foot Function During Stance Phase by Bayesian Network Based Causal Inference....Pages 113-129
Rule Learning in Healthcare and Health Services Research....Pages 131-145
Machine Learning Techniques for AD/MCI Diagnosis and Prognosis....Pages 147-179
Using Machine Learning to Plan Rehabilitation for Home Care Clients: Beyond “Black-Box” Predictions....Pages 181-207
Clinical Utility of Machine Learning and Longitudinal EHR Data....Pages 209-227
Rule-based Computer Aided Decision Making for Traumatic Brain Injuries....Pages 229-259
Supervised Learning Methods for Fraud Detection in Healthcare Insurance....Pages 261-285
Feature Extraction by Quick Reduction Algorithm: Assessing the Neurovascular Pattern of Migraine Sufferers from NIRS Signals....Pages 287-307
A Selection and Reduction Approach for the Optimization of Ultrasound Carotid Artery Images Segmentation....Pages 309-332

✦ Subjects

Computational Intelligence; Artificial Intelligence (incl. Robotics)

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