Machine Learning in Healthcare Informatics
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.
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Details
- ISBN-13: 9783642400162
- ISBN-10: 3642400167
- Publisher: Springer
- Publish Date: December 2013
- Dimensions: 9.21 x 6.14 x 0.81 inches
- Shipping Weight: 1.45 pounds
- Page Count: 332
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