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020 _a9789811924163
024 7 _a10.1007/978-981-19-2416-3
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aR858
_b2022 EB
245 0 0 _aNext Generation Healthcare Informatics
_cedited by B. K. Tripathy, Pawan Lingras, Arpan Kumar Kar, Chiranji Lal Chowdhary
250 _aFirst edition 2022
264 1 _aSingapore
_bSpringer International Publishing
_c2022
300 _a1 recurso en línea (XIX, 308 páginas)
_b73 ilustraciones, 47 ilustraciones a color
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _atext file
_bPDF
490 0 _aStudies in Computational Intelligence
_x1860-9503
_v1039
505 0 _aChapter 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 _aThis 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.
988 _aSpringer_Robotics_2022
650 7 _2embne
_9421154
_aInformática médica
700 1 _aTripathy, B. K
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aLingras, Pawan
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aKar, Arpan Kumar
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aChowdhary, Chiranji Lal
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9789811924156
776 0 8 _iPrinted edition:
_z9789811924170
776 0 8 _iPrinted edition:
_z9789811924187
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-19-2416-3
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _b07/2022
_dz
_eIG
_zSI