Introduction to Computational Health Informatics

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Synopsis

This class-tested textbook is designed for a semester-long graduate or senior undergraduate course on Computational Health Informatics. The focus of the book is on computational techniques that are widely used in health data analysis and health informatics and it integrates computer science and clinical perspectives. This book prepares computer science students for careers in computational health informatics and medical data analysis.
Features


Integrates computer science and clinical perspectives


Describes various statistical and artificial intelligence techniques, including machine learning techniques such as clustering of temporal data, regression analysis, neural networks, HMM, decision trees, SVM, and data mining, all of which are techniques used widely used in health-data analysis


Describes computational techniques such as multidimensional and multimedia data representation and retrieval, ontology, patient-data deidentification, temporal data analysis, heterogeneous databases, medical image analysis and transmission, biosignal analysis, pervasive healthcare, automated text-analysis, health-vocabulary knowledgebases and medical information-exchange


Includes bioinformatics and pharmacokinetics techniques and their applications to vaccine and drug development

Book details

Series:
Chapman & Hall/CRC Data Mining and Knowledge Discovery Series
Author:
Arvind Kumar Bansal, Javed Iqbal Khan, S. Kaisar Alam
ISBN:
9781000761436
Related ISBNs:
9781003003564, 9781498756631, 9780367434786, 9780367434786, 9781498756631, 9781003003564, 9781498756631, 9780367434786, 9780367434786, 9781498756631, 9781003003564, 9780367434786, 9781498756631
Publisher:
CRC Press
Pages:
576
Reading age:
Not specified
Includes images:
No
Date of addition:
2020-01-06
Usage restrictions:
Copyright
Copyright date:
2020
Copyright by:
N/A 
Adult content:
No
Language:
English
Categories:
Computers and Internet, Medicine, Nonfiction, Science