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Signal Processing and Machine Learning for Biomedical Big Data

Author: Ervin Sejdić; Tiago H Falk
Publisher: [Place of publication not identified] : CRC Press (CAM) : CRC Press, 2018.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
This will be a comprehensive, multi-contributed reference work that will detail the latest research and developments in biomedical signal processing related to big data medical analysis. It will describe signal processing, machine learning, and parallel computing strategies to revolutionize the world of medical analytics and diagnosis as presented by world class researchers and experts in this important field. The  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
(OCoLC)1009214016
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Ervin Sejdić; Tiago H Falk
ISBN: 9781351061216 1351061216 9781498773461 149877346X 9781351061209 1351061208 9781351061223 1351061224
OCLC Number: 1044733829
Description: 1 online resource.
Contents: Part I Introduction --
chapter 1 Signal Processing in the Era of Biomedical Big Data / Tiago H. Falk --
chapter 2 Collecting and Making Sense of Big Data for Improved Health Care / Thomas R. Clancy --
chapter 3 Big Data Era in Magnetic Resonance Imaging of the Human Brain / Xiaoyu Ding --
part II Signal Processing for Big Data --
chapter 4 Data-Driven Approaches for Detecting and Identifying Anomalous Data Streams / Shaofeng Zou --
chapter 5 Time?Frequency Analysis for EEG Quality Measurement and Enhancement with Applications in Newborn EEG Abnormality Detection --
Multichannel EEG Enhancement and Classification for Newborn Health Outcome Prediction / Boualem Boashash --
chapter 6 Active Recursive Bayesian State Estimation for Big Biological Data 1 / Mohammad Moghadamfalahi --
chapter 7 Compressive Sensing Methods for Reconstruction of Big Sparse Signals / Ljubisǎ Stankovic ́ --
chapter 8 Low-Complexity DCT Approximations for Biomedical Signal Processing in Big Data / Renato J. Cintra --
chapter 9 Dynamic Processes on Complex Networks / June Zhang --
chapter 10 Modeling Functional Networks via Piecewise-Stationary Graphical Models 1 / Hang Yu --
chapter 11 Topological Data Analysis of Biomedical Big Data / Angkoon Phinyomark --
chapter 12 Targeted Learning with Application to Health Care Research / Susan Gruber --
part III Applications of Signal Processing and Machine Learning for Big Biomedical Data --
chapter 13 Scalable Signal Data Processing for Measuring Functional Connectivity in Epilepsy Neurological Disorder / Arthur Gershon --
chapter 14 Machine Learning Approaches to Automatic Interpretation of EEGs / Iyad Obeid --
chapter 15 Information Fusion in Deep Convolutional Neural Networks for Biomedical Image Segmentation 1 / Mohammad Havaei --
chapter 16 Automated Biventricular Cardiovascular Modelling from MRI for Big Heart Data Analysis / Kathleen Gilbert --
chapter 17 Deep Learning for Retinal Analysis / Henry A. Leopold --
chapter 18 Dictionary Learning Applications for HEp-2 Cell Classification / Sadaf Monajemi --
chapter 19 Computational Sequence- and NGS-Based MicroRNA Prediction / R.J. Peace --
chapter 20 Bayesian Classification of Genomic Big Data / Ulisses M. Braga-Neto --
chapter 21 Neuroelectrophysiology of Sleep and Insomnia / Ramiro Chaparro-Vargas --
chapter 22 Automated Processing of Big Data in Sleep Medicine / Sara Mariani --
chapter 23 Integrating Clinical Physiological Knowledge at the Feature and Classifier Levels in Design of a Clinical Decision Support System for Improved Prediction of Intensive Care Unit Outcome / Ali Jalali --
chapter 24 Trauma Outcome Prediction in the Era of Big Data: From Data Collection to Analytics / Shiming Yang --
chapter 25 Enchancing Medical Problem Solving through the Integration of Temporal Abstractions with Bayesian Networks in Time-Oriented Clinical Domains / Kalia Orphanou --
chapter 26 Big Data in Critical Care Using Artemis / Carolyn McGregor --
chapter 27 Improving Neurorehabilitation of the Upper Limb through Big Data / Jose ́Zariffa --
chapter 28 Multimodal Ambulatory Fall Risk Assessment in the Era of Big Data / Mina Nouredanesh.
Responsibility: edited by Ervin Sejdić and Tiago H. Falk.

Abstract:

This will be a comprehensive, multi-contributed reference work that will detail the latest research and developments in biomedical signal processing related to big data medical analysis. It will describe signal processing, machine learning, and parallel computing strategies to revolutionize the world of medical analytics and diagnosis as presented by world class researchers and experts in this important field. The chapters will desribe tools that can be used by biomedical and clinical practitioners as well as industry professionals. It will give signal processing researchers a glimpse into the issues faced with Big Medical Data.

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