國立高雄大學圖資館 |

登入

回首頁

Handbook of artificial intelligence in healthcare.Vol. 1,Advances and applications

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Handbook of artificial intelligence in healthcare.edited by Chee-Peng Lim ... [et al.].
其他題名:	Advances and applications
其他作者:	Lim, Chee-Peng.
出版者:	Cham :Springer International Publishing :2022.
面頁冊數:	xvii, 456 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Artificial intelligenceMedical applications.
電子資源:	https://doi.org/10.1007/978-3-030-79161-2
ISBN:	9783030791612$q(electronic bk.)

Handbook of artificial intelligence in healthcare.Vol. 1,Advances and applications
Handbook of artificial intelligence in healthcare.Vol. 1,Advances and applications[electronic resource] /Advances and applicationsedited by Chee-Peng Lim ... [et al.]. - Cham :Springer International Publishing :2022. - xvii, 456 p. :ill., digital ;24 cm. - Intelligent systems reference library,v. 2111868-4408 ;. - Intelligent systems reference library ;v.24..

Advances in artificial intelligence for the identification of epileptiform discharges -- Characterizing EEG electrodes in directed functional brain networks using normalized transfer entropy and page rank -- Autistic verbal behaviour language parameterization -- Case studies to demonstrate real-world applications in ophthalmic image analysis -- Segmentation of petri plate images for automatic reporting of urine culture tests -- Repurposing routine imaging for cancer biomarker discovery using machine learning.

This handbook on Artificial Intelligence (AI) in healthcare consists of two volumes. The first volume is dedicated to advances and applications of AI methodologies in specific healthcare problems, while the second volume is concerned with general practicality issues and challenges and future prospects in the healthcare context. The advent of digital and computing technologies has created a surge in the development of AI methodologies and their penetration to a variety of activities in our daily lives in recent years. Indeed, researchers and practitioners have designed and developed a variety of AI-based systems to help advance health and well-being of humans. In this first volume, we present a number of latest studies in AI-based tools and techniques from two broad categories, viz., medical signal, image, and video processing as well as healthcare information and data analytics in Part 1 and Part 2, respectively. These selected studies offer readers practical knowledge and understanding pertaining to the recent advances and applications of AI in the healthcare sector.

ISBN: 9783030791612$q(electronic bk.)

Standard No.: 10.1007/978-3-030-79161-2doiSubjects--Topical Terms:

237917
Artificial intelligence
--Medical applications.

LC Class. No.: R859.7.A78 / H36 2022

Dewey Class. No.: 610.28563

Handbook of artificial intelligence in healthcare.Vol. 1,Advances and applications
LDR:02769nmm a2200349 a 4500 001 618162
003 DE-He213
005 20210917140315.0
006 m d
007 cr nn 008maaau
008 221025s2022 sz s 0 eng d
020 $a 9783030791612$q(electronic bk.)
020 $a 9783030791605$q(paper)
024 7 $a 10.1007/978-3-030-79161-2 $2 doi
035 $a 978-3-030-79161-2
040 $a GP $c GP
041 0 $a eng
050 4 $a R859.7.A78 $b H36 2022
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 H236 2022
245 0 0 $a Handbook of artificial intelligence in healthcare. $n Vol. 1, $p Advances and applications $h [electronic resource] / $c edited by Chee-Peng Lim ... [et al.].
246 3 0 $a Advances and applications
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2022.
300 $a xvii, 456 p. : $b ill., digital ; $c 24 cm.
490 1 $a Intelligent systems reference library, $x 1868-4408 ; $v v. 211
505 0 $a Advances in artificial intelligence for the identification of epileptiform discharges -- Characterizing EEG electrodes in directed functional brain networks using normalized transfer entropy and page rank -- Autistic verbal behaviour language parameterization -- Case studies to demonstrate real-world applications in ophthalmic image analysis -- Segmentation of petri plate images for automatic reporting of urine culture tests -- Repurposing routine imaging for cancer biomarker discovery using machine learning.
520 $a This handbook on Artificial Intelligence (AI) in healthcare consists of two volumes. The first volume is dedicated to advances and applications of AI methodologies in specific healthcare problems, while the second volume is concerned with general practicality issues and challenges and future prospects in the healthcare context. The advent of digital and computing technologies has created a surge in the development of AI methodologies and their penetration to a variety of activities in our daily lives in recent years. Indeed, researchers and practitioners have designed and developed a variety of AI-based systems to help advance health and well-being of humans. In this first volume, we present a number of latest studies in AI-based tools and techniques from two broad categories, viz., medical signal, image, and video processing as well as healthcare information and data analytics in Part 1 and Part 2, respectively. These selected studies offer readers practical knowledge and understanding pertaining to the recent advances and applications of AI in the healthcare sector.
650 0 $a Artificial intelligence $x Medical applications. $3 237917
650 1 4 $a Computational Intelligence. $3 338479
650 2 4 $a Biomedical Engineering and Bioengineering. $3 826326
650 2 4 $a Health Informatics. $3 274212
700 1 $a Lim, Chee-Peng. $3 917757
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Intelligent systems reference library ; $v v.24. $3 558591
856 4 0 $u https://doi.org/10.1007/978-3-030-79161-2
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)