Signal processing and machine learning for biomedical big data

✍ Scribed by Falk, Tiago H.; Sejdic, Ervin

Publisher: Taylor & Francis
Year: 2018
Tongue: English
Leaves: 624
Category: Library

No coin nor oath required. For personal study only.

✦ Table of Contents

Content: An Introduction to big data in medicine. Big heart data. Predicting asthma-related emergency department visits using big data. Fall detection in homes of older adults using Microsoft Kinect. Visualization analysis for big data in computational cyberpsychology. Heart beats in the cloud. Big Data approaches to trauma outcome prediction. The TUH EEG CORPUS. Big Data reduction using RBFNN. Systems Biology and brain activity. Signal processing to make sense of noisy medical Big Data. Prarallel randomly compressed cubes. Big Data analysis with signal on graphs. Outlying sequence detection in large data sets. Breaking the curse of dimensionality using decompositions. Sparse Fourier transform. Modeling and optimization learning tools for big data analytics. Parallel processing for real-time biomedical big data. Heart beats in the cloud.

✦ Subjects

Medical Informatics;Data Collection;Signal Processing, Computer-Assisted;Machine Learning;Medical informatics;Signal processing -- Digital techniques;Machine learning

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