Machine Learning in Healthcare Informatics

Publisher Springer

Format

eBook

2nd Edition 1st Edition

Quantity

Add New

Publisher

Springer

Volume

Copyright

2014

ISBN13

9783642400179

Release

Format

eBook

Grade Level

College Freshman - College Senior

DDC
TBD

Overview

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.
Front Cover.
Editorial Board.
Other Frontmatter.
Title Page.
Copyright Page.
Preface.
Contents.
1: Introduction to Machine Learning in Healthcare Informatics.
2: Wavelet-based Machine Learning Techniques for ECG Signal Analysis.
3: Application of Fuzzy Logic Control for Regulation of Glucose Level of Diabetic Patient.
4: The Application of Genetic Algorithm for Unsupervised Classification of ECG.
5: Pixel-based Machine Learning in Computer-Aided Diagnosis of Lung and Colon Cancer.
6: Understanding Foot Function During Stance Phase by Bayesian Network Based Causal Inference.
7: Rule Learning in Healthcare and Health Services Research.
8: Machine Learning Techniques for AD/MCI Diagnosis and Prognosis.
9: Using Machine Learning to Plan Rehabilitation for Home Care Clients: Beyond “Black-Box” Predictions.
10: Clinical Utility of Machine Learning and Longitudinal EHR Data.
11: Rule-based Computer Aided Decision Making for Traumatic Brain Injuries.
12: Supervised Learning Methods for Fraud Detection in Healthcare Insurance.
13: Feature Extraction by Quick Reduction Algorithm: Assessing the Neurovascular Pattern of Migraine Sufferers from NIRS Signals.
14: A Selection and Reduction Approach for the Optimization of Ultrasound Carotid Artery Images Segmentation.
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Machine Learning in Healthcare Informatics

Product Details

Overview

Table of Contents