Bansal A.K., Khan J.I., Alam S.K. Introduction to Computational Health Informatics

New York: Chapman and Hall/CRC, 2019. — 611 p.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.FeaturesIntegrates 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 developmentChapter Outlines
Classroom Use of this TextbookAbout the AuthorsFundamentals
Intelligent Data Analysis Techniques
Healthcare Data Organization
Medical Imaging Informatics
DICOM – Medical Image Communication
Bioelectric and Biomagnetic Signal Analysis
Clinical Data Analytics
Pervasive Health and Remote Care
Disease Prediction and Drug Development
End-User’s Emotion and SatisfactionWebsites for Healthcare Standards
Healthcare-Related Conferences and Journals
Health Informatics Related Organizations
Health Informatics Database Resources
Selected Companies in Healthcare Industry