Machine Learning in Healthcare Informatics

Book Overview

Introduction to Machine Learning in Healthcare Informatics.- Wavelet-Based Machine Learning Techniques for ECG Signal Analysis.- Application of Fuzzy Logic Control for Regulation of Glucose Level of Diabetic Patient.- A Study on Machine Learning in EEG Signal Analysis.- The Application of Genetic Algorithm for Unsupervised Classification of ECG.- Pixel-based Machine Learning in Computer-aided Diagnosis of Lung and Colon Cancer.- Understanding foot function during stance phase by Bayesian Network based causal inference.- Rule Learning in Healthcare and Health Services Research.- Machine Learning Techniques for AD/MCI Diagnosis and Prognosis.- Using Machine Learning to Plan Rehabilitation for Home Care Clients: Beyond "Black-Box" Predictions.- Techniques for AD/MCI Diagnosis and Prognosis.

• Format: Hardcover
• Language: English
• ISBN: 3642400167
• ISBN13: 9783642400162
• Release Date: December 2013
• Publisher: Springer
• Length: 332 Pages
• Weight: 1.45 lbs.
• Dimensions: 0.8" x 6.1" x 9.2"