£113.48

Springer Health Informatics Data Analysis - Methods and Examples

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Description

Expand your knowledge of biomedical data with Health Informatics Data Analysis: Methods and Examples by Springer. This comprehensive text covers a wide range of data types, including clinical and genomic data, making it an essential resource for those studying health information science. Readers can explore specific technical topics such as EEG analysis techniques, electrocardiograms, and Big Data health mining. The book provides practical value by including a field summary and a sample analysis in every chapter, ensuring the concepts are easy to follow. Beyond standard clinical data, the text covers advanced subjects like telehealth infrastructure, mass spectrometry imaging, and healthcare information association rules. It even touches on specialized areas such as environmental biodiversity and global nonlinear fitness functions for protein structures. Whether you are interested in data mining or complex disease analysis, this book offers a detailed look at the methods used in modern health informatics.

Key Features

Covers diverse biomedical data types including both clinical and genomic data for a broad scientific perspective.

Includes practical sample analyses in every chapter to help readers apply theoretical concepts to real-world scenarios.

Provides technical insights into EEG analysis, electrocardiograms, and Big Data health mining techniques.

Explores modern healthcare technology such as telehealth infrastructure and healthcare information association rules.

Addresses advanced scientific topics like mass spectrometry imaging and protein structure fitness functions.

Offers a deep dive into various fields ranging from environmental biodiversity to specific disease studies.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
10 August 2018
Listed Since
13 August 2018

Barcode

No barcode data available

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