國立虎尾科技大學 |

Next Generation Healthcare Informatics

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Next Generation Healthcare Informatics/ edited by B. K. Tripathy, Pawan Lingras, Arpan Kumar Kar, Chiranji Lal Chowdhary.
其他作者:	Chowdhary, Chiranji Lal.
面頁冊數:	XIX, 308 p. 73 illus., 47 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Machine Learning. -
電子資源:	https://doi.org/10.1007/978-981-19-2416-3
ISBN:	9789811924163

Next Generation Healthcare Informatics
Next Generation Healthcare Informatics[electronic resource] /edited by B. K. Tripathy, Pawan Lingras, Arpan Kumar Kar, Chiranji Lal Chowdhary. - 1st ed. 2022. - XIX, 308 p. 73 illus., 47 illus. in color.online resource. - Studies in Computational Intelligence,10391860-9503 ;. - Studies in Computational Intelligence,564.

Chapter 1. Methods for the recognition of multisource data in intelligent medicine: A review and next generation trends -- Chapter 2. Deep Learning in Healthcare: Challenges and Opportunities -- Chapter 3. Examination of Health Data Performance Depending on the Creative Use of Optimization Methods and Machine Learning Algorithms -- Chapter 4. Effect of computation and cognitive bias in healthcare intelligence and pharmacogenomics -- Chapter 5. Application of Genetic Algorithms in Healthcare: A Review -- Chapter 6. Decision-Making in Healthcare Nano-informatics -- Chapter 7. A Succinct Analytical Study of the Usability of Encryption Methods in Healthcare Data Security -- Chapter 8. IoMT in healthcare industry – Concepts and Applications -- Chapter 9. The Effect of Heuristic Methods Towards Performance of Health Data Analysis -- Chapter 10. AI for Stress Diagnosis at Home Environment -- Chapter 11. Contemporary Technologies to Combat Pandemics and Epidemics -- Chapter 12. Deep Learning for Diabetic Retinopathy Detection: Challenges and Opportunities -- Chapter 13. Deep Reinforcement Based Conversational AI Agent in Healthcare System -- Chapter 14. Deep Learning Empowered Fight against COVID-19: A Survey -- Chapter 15. Application of GAN in Guided Imagery Therapy -- Chapter 16. Digital Transformation in Healthcare Industry: A Survey -- Chapter 17. Application of Deep Learning in Mental Disorder: Challenges and Opportunities.

This edited book provides information on emerging fields of next-generation healthcare informatics with a special emphasis on emerging developments and applications of artificial intelligence, deep learning techniques, computational intelligence methods, Internet of medical things (IoMT), optimization techniques, decision making, nanomedicine, and cloud computing. The book provides a conceptual framework and roadmap for decision-makers for this transformation. The chapters involved in this book cover challenges and opportunities for diabetic retinopathy detection based on deep learning applications, deep learning accelerators in IoT and IoMT, health data analysis, deep reinforcement-based conversational AI agent in healthcare systems, examination of health data performance, multisource data in intelligent medicine, application of genetic algorithms in health care, mental disorder, digital healthcare system with big data analytics, encryption methods in healthcare data security, computation and cognitive bias in healthcare intelligence and pharmacogenomics, guided imagery therapy, cancer detection and prediction techniques, medical image processing for coronavirus, and imbalance learning in health care.

ISBN: 9789811924163

Standard No.: 10.1007/978-981-19-2416-3doiSubjects--Topical Terms:

1137723
Machine Learning.

LC Class. No.: Q342

Dewey Class. No.: 006.3

Next Generation Healthcare Informatics
LDR:04165nam a22004095i 4500 001 1087143
003 DE-He213
005 20220607110055.0
007 cr nn 008mamaa
008 221228s2022 si | s |||| 0|eng d
020 $a 9789811924163 $9 978-981-19-2416-3
024 7 $a 10.1007/978-981-19-2416-3 $2 doi
035 $a 978-981-19-2416-3
050 4 $a Q342
072 7 $a UYQ $2 bicssc
072 7 $a TEC009000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.3 $2 23
245 1 0 $a Next Generation Healthcare Informatics $h [electronic resource] / $c edited by B. K. Tripathy, Pawan Lingras, Arpan Kumar Kar, Chiranji Lal Chowdhary.
250 $a 1st ed. 2022.
264 1 $a Singapore : $b Springer Nature Singapore : $b Imprint: Springer, $c 2022.
300 $a XIX, 308 p. 73 illus., 47 illus. in color. $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 Studies in Computational Intelligence, $x 1860-9503 ; $v 1039
505 0 $a Chapter 1. Methods for the recognition of multisource data in intelligent medicine: A review and next generation trends -- Chapter 2. Deep Learning in Healthcare: Challenges and Opportunities -- Chapter 3. Examination of Health Data Performance Depending on the Creative Use of Optimization Methods and Machine Learning Algorithms -- Chapter 4. Effect of computation and cognitive bias in healthcare intelligence and pharmacogenomics -- Chapter 5. Application of Genetic Algorithms in Healthcare: A Review -- Chapter 6. Decision-Making in Healthcare Nano-informatics -- Chapter 7. A Succinct Analytical Study of the Usability of Encryption Methods in Healthcare Data Security -- Chapter 8. IoMT in healthcare industry – Concepts and Applications -- Chapter 9. The Effect of Heuristic Methods Towards Performance of Health Data Analysis -- Chapter 10. AI for Stress Diagnosis at Home Environment -- Chapter 11. Contemporary Technologies to Combat Pandemics and Epidemics -- Chapter 12. Deep Learning for Diabetic Retinopathy Detection: Challenges and Opportunities -- Chapter 13. Deep Reinforcement Based Conversational AI Agent in Healthcare System -- Chapter 14. Deep Learning Empowered Fight against COVID-19: A Survey -- Chapter 15. Application of GAN in Guided Imagery Therapy -- Chapter 16. Digital Transformation in Healthcare Industry: A Survey -- Chapter 17. Application of Deep Learning in Mental Disorder: Challenges and Opportunities.
520 $a This edited book provides information on emerging fields of next-generation healthcare informatics with a special emphasis on emerging developments and applications of artificial intelligence, deep learning techniques, computational intelligence methods, Internet of medical things (IoMT), optimization techniques, decision making, nanomedicine, and cloud computing. The book provides a conceptual framework and roadmap for decision-makers for this transformation. The chapters involved in this book cover challenges and opportunities for diabetic retinopathy detection based on deep learning applications, deep learning accelerators in IoT and IoMT, health data analysis, deep reinforcement-based conversational AI agent in healthcare systems, examination of health data performance, multisource data in intelligent medicine, application of genetic algorithms in health care, mental disorder, digital healthcare system with big data analytics, encryption methods in healthcare data security, computation and cognitive bias in healthcare intelligence and pharmacogenomics, guided imagery therapy, cancer detection and prediction techniques, medical image processing for coronavirus, and imbalance learning in health care.
650 2 4 $a Machine Learning. $3 1137723
650 2 4 $a Health Informatics. $3 593963
650 2 4 $a Artificial Intelligence. $3 646849
650 1 4 $a Computational Intelligence. $3 768837
650 0 $a Machine learning. $3 561253
650 0 $a Medical informatics. $3 583858
650 0 $a Artificial intelligence. $3 559380
650 0 $a Computational intelligence. $3 568984
700 1 $a Chowdhary, Chiranji Lal. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1394108
700 1 $a Kar, Arpan Kumar. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1130110
700 1 $a Lingras, Pawan. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 787788
700 1 $a Tripathy, B. K. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1394107
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9789811924156
776 0 8 $i Printed edition: $z 9789811924170
776 0 8 $i Printed edition: $z 9789811924187
830 0 $a Studies in Computational Intelligence, $x 1860-949X ; $v 564 $3 1253640
856 4 0 $u https://doi.org/10.1007/978-981-19-2416-3
912 $a ZDB-2-INR
912 $a ZDB-2-SXIT
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)
950 $a Intelligent Technologies and Robotics (R0) (SpringerNature-43728)