Bansal, Arvind Kumar,
Introduction to computational health informatics / by Arvind Kumar Bansal, Javed Iqbal Khan, S. Kaisar Alam. - 1 online resource. - Chapman & Hall/CRC data mining and knowledge series .
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
9781000761436 1000761436 9781003003564 1003003567 9781000761597 1000761592
Medical informatics--Study and teaching.
MEDICAL / Administration
COMPUTERS / Database Management / Data Mining
MEDICAL / General
R859 / .B36 2020
610.285
Introduction to computational health informatics / by Arvind Kumar Bansal, Javed Iqbal Khan, S. Kaisar Alam. - 1 online resource. - Chapman & Hall/CRC data mining and knowledge series .
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
9781000761436 1000761436 9781003003564 1003003567 9781000761597 1000761592
Medical informatics--Study and teaching.
MEDICAL / Administration
COMPUTERS / Database Management / Data Mining
MEDICAL / General
R859 / .B36 2020
610.285