Introduction to Computational Health Informatics

1st Edition

Arvind Kumar Bansal, Javed Iqbal Khan, S. Kaisar Alam

Chapman and Hall/CRC
Published January 24, 2020
Textbook - 576 Pages - 219 B/W Illustrations
ISBN 9781498756631 - CAT# K27536
Series: Chapman & Hall/CRC Data Mining and Knowledge Discovery Series

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Summary

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

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