TY  - BOOK
AU  - Bansal,Arvind Kumar
AU  - Khan,Javed I.
AU  - Alam,S.Kaisar
TI  - Introduction to computational health informatics
T2  - Chapman & Hall/CRC data mining and knowledge series
SN  - 9781000761436
AV  - R859 .B36 2020
U1  - 610.285 23
PY  - 2020///]
CY  - Boca Raton, FL
PB  - CRC Press
KW  - Medical informatics
KW  - Study and teaching
KW  - MEDICAL / Administration
KW  - bisacsh
KW  - COMPUTERS / Database Management / Data Mining
KW  - MEDICAL / General
N2  - 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
UR  - https://www.taylorfrancis.com/books/9781003003564
UR  - http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
ER  -