國立高雄大學圖資館 |

Language: English

Back

Artificial intelligence for informat...

G. M., Siddesh.

Artificial intelligence for information managementa healthcare perspective /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Artificial intelligence for information managementedited by K. G. Srinivasa, Siddesh G. M., S. R. Mani Sekhar.
Reminder of title:	a healthcare perspective /
other author:	Srinivasa, K. G.
Published:	Singapore :Springer Singapore :2021.
Description:	xiv, 329 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Artificial intelligenceMedical applications.
Online resource:	https://doi.org/10.1007/978-981-16-0415-7
ISBN:	9789811604157$q(electronic bk.)

Artificial intelligence for information managementa healthcare perspective /
Artificial intelligence for information managementa healthcare perspective /[electronic resource] :edited by K. G. Srinivasa, Siddesh G. M., S. R. Mani Sekhar. - Singapore :Springer Singapore :2021. - xiv, 329 p. :ill. (some col.), digital ;24 cm. - Studies in big data,v.882197-6503 ;. - Studies in big data ;v.1..

Introduction to Healthcare Information Management and Machine Learning -- Introduction to Artificial Intelligence -- Healthcare Data Analytics using Artificial Intelligence -- Data Collection and Processing in Healthcare -- Social Media Analytics for Healthcare -- Security and Privacy Issues in Healthcare -- Healthcare Data Visualization -- Management of Dementia Through Self Help and Assistive Technologies -- Classification and Prediction of Leukemia Using Gene Expression Profile -- Artificial Intelligence in Medicine: Diabetes as a Model -- Estimation of Basic Reproduction Number and Herd Immunity for COVID-19 in India -- Smart Healthcare: Using IoT and Machine Learning based Analytics.

This book discusses the advancements in artificial intelligent techniques used in the well-being of human healthcare. It details the techniques used in collection, storage and analysis of data and their usage in different healthcare solutions. It also discusses the techniques of predictive analysis in early diagnosis of critical diseases. The edited book is divided into four parts - part A discusses introduction to artificial intelligence and machine learning in healthcare; part B highlights different analytical techniques used in healthcare; part C provides various security and privacy mechanisms used in healthcare; and finally, part D exemplifies different tools used in visualization and data analytics.

ISBN: 9789811604157$q(electronic bk.)

Standard No.: 10.1007/978-981-16-0415-7doiSubjects--Topical Terms:

237917
Artificial intelligence
--Medical applications.

LC Class. No.: R859.7.A78 / A78 2021

Dewey Class. No.: 610.28563

Artificial intelligence for information managementa healthcare perspective /
LDR:02551nmm a2200337 a 4500 001 598684
003 DE-He213
005 20210520210625.0
006 m d
007 cr nn 008maaau
008 211025s2021 si s 0 eng d
020 $a 9789811604157$q(electronic bk.)
020 $a 9789811604140$q(paper)
024 7 $a 10.1007/978-981-16-0415-7 $2 doi
035 $a 978-981-16-0415-7
040 $a GP $c GP
041 0 $a eng
050 4 $a R859.7.A78 $b A78 2021
072 7 $a UYQ $2 bicssc
072 7 $a TEC009000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 610.28563 $2 23
090 $a R859.7.A78 $b A791 2021
245 0 0 $a Artificial intelligence for information management $h [electronic resource] : $b a healthcare perspective / $c edited by K. G. Srinivasa, Siddesh G. M., S. R. Mani Sekhar.
260 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2021.
300 $a xiv, 329 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Studies in big data, $x 2197-6503 ; $v v.88
505 0 $a Introduction to Healthcare Information Management and Machine Learning -- Introduction to Artificial Intelligence -- Healthcare Data Analytics using Artificial Intelligence -- Data Collection and Processing in Healthcare -- Social Media Analytics for Healthcare -- Security and Privacy Issues in Healthcare -- Healthcare Data Visualization -- Management of Dementia Through Self Help and Assistive Technologies -- Classification and Prediction of Leukemia Using Gene Expression Profile -- Artificial Intelligence in Medicine: Diabetes as a Model -- Estimation of Basic Reproduction Number and Herd Immunity for COVID-19 in India -- Smart Healthcare: Using IoT and Machine Learning based Analytics.
520 $a This book discusses the advancements in artificial intelligent techniques used in the well-being of human healthcare. It details the techniques used in collection, storage and analysis of data and their usage in different healthcare solutions. It also discusses the techniques of predictive analysis in early diagnosis of critical diseases. The edited book is divided into four parts - part A discusses introduction to artificial intelligence and machine learning in healthcare; part B highlights different analytical techniques used in healthcare; part C provides various security and privacy mechanisms used in healthcare; and finally, part D exemplifies different tools used in visualization and data analytics.
650 0 $a Artificial intelligence $x Medical applications. $3 237917
650 0 $a Medical informatics. $3 196487
650 0 $a Big data. $3 609582
650 1 4 $a Computational Intelligence. $3 338479
650 2 4 $a Artificial Intelligence. $3 212515
650 2 4 $a Big Data. $3 760530
650 2 4 $a Health Informatics. $3 274212
700 1 $a Srinivasa, K. G. $3 339589
700 1 $a G. M., Siddesh. $3 814708
700 1 $a Sekhar, S. R. Mani. $3 892522
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Studies in big data ; $v v.1. $3 675357
856 4 0 $u https://doi.org/10.1007/978-981-16-0415-7
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)