Introduction to Computational Health Informatics

Book Details

• Author: Arvind Kumar Bansal

• Brand: CRC Press

• Edition: 1st Edition

• Binding: Paperback

• Format: Import

• Number of Pages: 576

• Release Date: 24th January 2020

• ISBN: 9781498756631

• Package Dimensions: 10.0 x 7.1 x 1.4 inches

• Languages: English

About The Book
Computational Health Informatics by Arvind Kumar Bansal is a class-tested textbook designed for a graduate or senior undergraduate course in computational health informatics. With 576 pages, this book serves as an excellent resource for students looking to explore the intersection of computer science and healthcare, particularly in the context of health data analysis and medical data systems.

The book integrates both computer science and clinical perspectives, offering detailed coverage of statistical and artificial intelligence techniques widely used in health data analysis. Topics covered include machine learning methods such as clustering of temporal data, regression analysis, neural networks, Hidden Markov Models (HMM), decision trees, Support Vector Machines (SVM), and data mining techniques.

In addition to AI and statistical techniques, the book delves into computational methods such as multidimensional and multimedia data representation, ontology, patient-data de-identification, and temporal data analysis. It also covers medical image analysis, biosignal analysis, pervasive healthcare, and automated text-analysis. Furthermore, it explores bioinformatics and pharmacokinetics techniques, with applications to vaccine and drug development.

This comprehensive guide prepares computer science students for careers in computational health informatics, offering them essential knowledge in both the theoretical and practical aspects of this rapidly growing field.