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Health Data Processing

Health Data Processing: Systemic Approaches focuses on the design of health information systems and touches on the main themes of medical;

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Brain Informatics and Health

; brain data analytics; health data analytics; brain informatics and data management; semantic aspects of biomedical analytics; healthcare;

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Data and Text Processing for Health and Life Sciences

This open access book is a step-by-step introduction on how shell scripting can help solve many of the data processing tasks that Health;

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Signal Processing Techniques for Computational Health Informatics

This book focuses on signal processing techniques used in computational health informatics. As computational health informatics is the;

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Anomaly Detection and Complex Event Processing Over IoT Data Streams

Anomaly Detection and Complex Event Processing over IoT Data Streams: With Application to eHealth and Patient Data Monitoring presents;

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Health Monitoring Systems

, processing, and data security, the fundamental building blocks towards an ambulatory health monitoring infrastructure. The fundamentals have been;

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Clinical Data Mining for Physician Decision Making and Investigating Health Outcomes

Clinical Data Mining for Physician Decision Making and Investigating Health Outcomes: Methods for Prediction and Analysis demonstrates how;

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Digital Health in Focus of Predictive, Preventive and Personalised Medicine

: - Artificial Intelligence for health * Knowledge extraction * Decision-aid systems * Data;

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Prognostics and Health Management

A comprehensive guide to the application and processing of condition-based data to produce prognostic estimates of functional health and;

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Intelligent Data Sensing and Processing for Health and Well-Being Applications

Intelligent Data Sensing and Processing for Health and Well-being Applications uniquely combines full exploration of the latest;

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Signal Processing and Machine Learning for Biomedical Big Data

Within the healthcare domain, big data is defined as any ``high volume, high diversity biological, clinical, environmental, and lifestyle;

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Deep Learning Techniques for Biomedical and Health Informatics

Health Records (EHR), including health data structures and management, deep patient similarity learning, natural language processing, and how to;

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Databook of Antiblocking, Release, and Slip Additives

additive is presented with data in the following categories: General Information, Physical Properties, Health and Safety, Ecological Properties;

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Business Data Processing

Business Data Processing examines various aspects of data processing in business development including an extensive overview of functional;

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Signal and Image Processing Techniques for the Development of Intelligent Health

-based image analysis techniques, used in healthcare diagnostics. It highlights a range of data pre-processing methods used in signal;

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Statistical Methods for Global Health and Epidemiology

are included as well as real data examples. Contemporary global health and epidemiology involves a myriad of medical and health challenges;

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Statistical Methods for Global Health and Epidemiology: Principles, Methods and Applications

are included as well as real data examples. Contemporary global health and epidemiology involves a myriad of medical and health challenges;

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Internet of Things (IoT) Technologies for HealthCare

many solutions to delivery of electronic healthcare, patient care, and medical data management. The 17 revised full papers presented were;

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Large Scale and Big Data

Large Scale and Big Data: Processing and Management provides readers with a central source of reference on the data management techniques;

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Large Scale and Big Data

Large Scale and Big Data: Processing and Management provides readers with a central source of reference on the data management techniques;

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Databook of Antiblocking, Release, and Slip Additives

data in the following categories: General Information; Physical Properties; Health and Safety; Ecological Properties; and Use and Performance;

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Tensors for Data Processing

Tensors for Data Processing: Theory, Methods and Applications presents both classical and state-of-the-art methods on tensor;

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Biostatistics and Computer-based Analysis of Health Data using Stata

This volume of the Biostatistics and Health Sciences Set focuses on statistics applied to clinical research. The use of Stata for data;

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Biostatistics and Computer-based Analysis of Health Data Using SAS

This volume of the Biostatistics and Health Sciences Set focuses on statistics applied to clinical research. The use of SAS for data;

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Biomedical Image Processing

directly digital acquisition techniques and processing of this image data have become an important option for health care in future. This book;

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Radar Data Processing With Applications

A systematic introduction to the theory, development and latest research results of radar data processing technology Presents both;

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Processing of Seismic Reflection Data Using MATLAB

This short book is for students, professors and professionals interested in signal processing of seismic data using MATLAB (TM). The step;

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