國立虎尾科技大學 |

Intelligent Healthcare = Applications of AI in eHealth /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Intelligent Healthcare/ edited by Surbhi Bhatia, Ashutosh Kumar Dubey, Rita Chhikara, Poonam Chaudhary, Abhishek Kumar.
Reminder of title:	Applications of AI in eHealth /
other author:	Bhatia, Surbhi.
Description:	XII, 323 p. 141 illus.online resource. :
Contained By:	Springer Nature eBook
Subject:	Electrical engineering. -
Online resource:	https://doi.org/10.1007/978-3-030-67051-1
ISBN:	9783030670511

Intelligent Healthcare = Applications of AI in eHealth /
Intelligent HealthcareApplications of AI in eHealth /[electronic resource] :edited by Surbhi Bhatia, Ashutosh Kumar Dubey, Rita Chhikara, Poonam Chaudhary, Abhishek Kumar. - 1st ed. 2021. - XII, 323 p. 141 illus.online resource. - EAI/Springer Innovations in Communication and Computing,2522-8609. - EAI/Springer Innovations in Communication and Computing,.

Introduction -- Part –I Medical Expert Systems -- Mobile Agents in Healthcare -- Fuzzy Expert Systems in Medical Domain -- Expert Systems for Bioinformatics -- Virtual Reality and Augmented Realty support systems -- Brain Computer Interface for rehabilitation -- Robotics in healthcare -- Part –II Machine Learning in Healthcare -- Rule based Learning in Healthcare -- Classification and Regression in Healthcare -- Clustering algorithms -- Deep Learning in Healthcare -- Big Data -- Nature Inspired Algorithms -- Part III Case Studies -- Corona Virus Study -- Dementia Prediction -- Brain Injury Data Analysis -- Pesticide data Analysis for cancer detection -- Conclusion.

This book fosters a scientific debate for sophisticated approaches and cognitive technologies (such as deep learning, machine learning and advanced analytics) for enhanced healthcare services in light of the tremendous scope in the future of intelligent systems for healthcare. The authors discuss the proliferation of huge data sources (e.g. genomes, electronic health records (EHRs), mobile diagnostics, and wearable devices) and breakthroughs in artificial intelligence applications, which have unlocked the doors for diagnosing and treating multitudes of rare diseases. The contributors show how the widespread adoption of intelligent health based systems could help overcome challenges, such as shortages of staff and supplies, accessibility barriers, lack of awareness on certain health issues, identification of patient needs, and early detection and diagnosis of illnesses. This book is a small yet significant step towards exploring recent advances, disseminating state-of-the-art techniques and deploying novel technologies in intelligent healthcare services and applications. Describes the advances of computing methodologies for life and medical science data; Presents applications of artificial intelligence in healthcare along with case studies and datasets; Provides an ideal reference for medical imaging researchers, industry scientists and engineers, advanced undergraduate and graduate students, and clinicians.

ISBN: 9783030670511

Standard No.: 10.1007/978-3-030-67051-1doiSubjects--Topical Terms:

596380
Electrical engineering.

LC Class. No.: TK1-9971

Dewey Class. No.: 621.382

Intelligent Healthcare = Applications of AI in eHealth /
LDR:03581nam a22004095i 4500 001 1047969
003 DE-He213
005 20210929075630.0
007 cr nn 008mamaa
008 220103s2021 sz | s |||| 0|eng d
020 $a 9783030670511 $9 978-3-030-67051-1
024 7 $a 10.1007/978-3-030-67051-1 $2 doi
035 $a 978-3-030-67051-1
050 4 $a TK1-9971
072 7 $a TJK $2 bicssc
072 7 $a TEC041000 $2 bisacsh
072 7 $a TJK $2 thema
082 0 4 $a 621.382 $2 23
245 1 0 $a Intelligent Healthcare $h [electronic resource] : $b Applications of AI in eHealth / $c edited by Surbhi Bhatia, Ashutosh Kumar Dubey, Rita Chhikara, Poonam Chaudhary, Abhishek Kumar.
250 $a 1st ed. 2021.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2021.
300 $a XII, 323 p. 141 illus. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a EAI/Springer Innovations in Communication and Computing, $x 2522-8609
505 0 $a Introduction -- Part –I Medical Expert Systems -- Mobile Agents in Healthcare -- Fuzzy Expert Systems in Medical Domain -- Expert Systems for Bioinformatics -- Virtual Reality and Augmented Realty support systems -- Brain Computer Interface for rehabilitation -- Robotics in healthcare -- Part –II Machine Learning in Healthcare -- Rule based Learning in Healthcare -- Classification and Regression in Healthcare -- Clustering algorithms -- Deep Learning in Healthcare -- Big Data -- Nature Inspired Algorithms -- Part III Case Studies -- Corona Virus Study -- Dementia Prediction -- Brain Injury Data Analysis -- Pesticide data Analysis for cancer detection -- Conclusion.
520 $a This book fosters a scientific debate for sophisticated approaches and cognitive technologies (such as deep learning, machine learning and advanced analytics) for enhanced healthcare services in light of the tremendous scope in the future of intelligent systems for healthcare. The authors discuss the proliferation of huge data sources (e.g. genomes, electronic health records (EHRs), mobile diagnostics, and wearable devices) and breakthroughs in artificial intelligence applications, which have unlocked the doors for diagnosing and treating multitudes of rare diseases. The contributors show how the widespread adoption of intelligent health based systems could help overcome challenges, such as shortages of staff and supplies, accessibility barriers, lack of awareness on certain health issues, identification of patient needs, and early detection and diagnosis of illnesses. This book is a small yet significant step towards exploring recent advances, disseminating state-of-the-art techniques and deploying novel technologies in intelligent healthcare services and applications. Describes the advances of computing methodologies for life and medical science data; Presents applications of artificial intelligence in healthcare along with case studies and datasets; Provides an ideal reference for medical imaging researchers, industry scientists and engineers, advanced undergraduate and graduate students, and clinicians.
650 0 $a Electrical engineering. $3 596380
650 0 $a Biomedical engineering. $3 588770
650 0 $a Health informatics. $3 1064466
650 0 $a Application software. $3 528147
650 1 4 $a Communications Engineering, Networks. $3 669809
650 2 4 $a Biomedical Engineering and Bioengineering. $3 1211019
650 2 4 $a Health Informatics. $3 593963
650 2 4 $a Information Systems Applications (incl. Internet). $3 881699
700 1 $a Bhatia, Surbhi. $e author. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1315341
700 1 $a Dubey, Ashutosh Kumar. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1351733
700 1 $a Chhikara, Rita. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1351734
700 1 $a Chaudhary, Poonam. $e author. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1315342
700 1 $a Kumar, Abhishek. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1320498
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783030670504
776 0 8 $i Printed edition: $z 9783030670528
776 0 8 $i Printed edition: $z 9783030670535
830 0 $a EAI/Springer Innovations in Communication and Computing, $x 2522-8595 $3 1288259
856 4 0 $u https://doi.org/10.1007/978-3-030-67051-1
912 $a ZDB-2-ENG
912 $a ZDB-2-SXE
950 $a Engineering (SpringerNature-11647)
950 $a Engineering (R0) (SpringerNature-43712)