國立高雄大學圖資館 |

Language: English

Back

Introduction to computational health informatics

Record Type:	Electronic resources : Monograph/item
Title/Author:	Introduction to computational health informaticsby Arvind Kumar Bansal, Javed Iqbal Khan, S. Kaisar Alam.
Author:	Bansal, Arvind Kumar.
other author:	Khan, Javed I.
Published:	Boca Raton, FL :CRC Press,c2020.
Description:	1 online resource.
Notes:	"A Chapman & Hall book."
Subject:	Medical informaticsStudy and teaching.
Online resource:	https://www.taylorfrancis.com/books/9781003003564
ISBN:	9781003003564$q(electronic bk.)

Introduction to computational health informatics
Bansal, Arvind Kumar.

Introduction to computational health informatics[electronic resource] /by Arvind Kumar Bansal, Javed Iqbal Khan, S. Kaisar Alam. - Boca Raton, FL :CRC Press,c2020. - 1 online resource. - Chapman & Hall/CRC data mining and knowledge discovery series. - Chapman & Hall/CRC data mining and knowledge discovery series..

"A Chapman & Hall book."

Includes bibliographical references and index.

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.

ISBN: 9781003003564$q(electronic bk.)Subjects--Topical Terms:

675495
Medical informatics
--Study and teaching.

LC Class. No.: R859 / .B36 2020

Dewey Class. No.: 610.285

Introduction to computational health informatics
LDR:02628cmm a2200373 a 4500 001 627050
003 FlBoTFG
005 20200128075253.0
006 m o d
007 cr cnu---unuuu
008 230118s2020 flu ob 001 0 eng d
020 $a 9781003003564$q(electronic bk.)
020 $a 1003003567$q(electronic bk.)
020 $a 9781000761436$q(electronic book)
020 $a 1000761436$q(electronic book)
020 $a 9781000761597$q(electronic bk. ;$qEPUB)
020 $a 1000761592$q(electronic bk. ;$qEPUB)
020 $z 9780367434786$q(hardcover)
020 $z 0367434784$q(hardcover)
020 $z 9781498756631$q(paperback)
020 $z 1498756638$q(paperback)
035 $a 9781003003564
040 $a OCoLC-P $b eng $c OCoLC-P
041 0 $a eng
050 4 $a R859 $b .B36 2020
082 0 4 $a 610.285 $2 23
100 1 $a Bansal, Arvind Kumar. $3 930958
245 1 0 $a Introduction to computational health informatics $h [electronic resource] / $c by Arvind Kumar Bansal, Javed Iqbal Khan, S. Kaisar Alam.
260 $a Boca Raton, FL : $b CRC Press, $c c2020.
300 $a 1 online resource.
490 1 $a Chapman & Hall/CRC data mining and knowledge discovery series
500 $a "A Chapman & Hall book."
504 $a Includes bibliographical references and index.
520 $a 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.
588 $a Description based on print version record.
650 0 $a Medical informatics $x Study and teaching. $3 675495
700 1 $a Khan, Javed I. $3 930959
700 1 $a Alam, S. Kaisar. $3 895950
830 0 $a Chapman & Hall/CRC data mining and knowledge discovery series. $3 359990
856 4 0 $u https://www.taylorfrancis.com/books/9781003003564