IoT and Big Data Technologies for Health Care (eBook, PDF)
Third EAI International Conference, IoTCare 2022, Virtual Event, December 12-13, 2022, Proceedings
Redaktion: Wang, Shuihua
65,95 €
65,95 €
inkl. MwSt.
Sofort per Download lieferbar
33 °P sammeln
65,95 €
Als Download kaufen
65,95 €
inkl. MwSt.
Sofort per Download lieferbar
33 °P sammeln
Jetzt verschenken
Alle Infos zum eBook verschenken
65,95 €
inkl. MwSt.
Sofort per Download lieferbar
Alle Infos zum eBook verschenken
33 °P sammeln
IoT and Big Data Technologies for Health Care (eBook, PDF)
Third EAI International Conference, IoTCare 2022, Virtual Event, December 12-13, 2022, Proceedings
Redaktion: Wang, Shuihua
- Format: PDF
- Merkliste
- Auf die Merkliste
- Bewerten Bewerten
- Teilen
- Produkt teilen
- Produkterinnerung
- Produkterinnerung

Bitte loggen Sie sich zunächst in Ihr Kundenkonto ein oder registrieren Sie sich bei
bücher.de, um das eBook-Abo tolino select nutzen zu können.
Hier können Sie sich einloggen
Hier können Sie sich einloggen
Sie sind bereits eingeloggt. Klicken Sie auf 2. tolino select Abo, um fortzufahren.

Bitte loggen Sie sich zunächst in Ihr Kundenkonto ein oder registrieren Sie sich bei bücher.de, um das eBook-Abo tolino select nutzen zu können.
This book constitutes the refereed proceedings of the Third EAI International Conference on IoT and Big Data Technologies for Health Care, IotCARE 2022, which took place virtually during December 12-13, 2022.
The 23 papers included in this volume were carefully reviewed and selected from 67 submissions. The papers are present newest results in big data technologies for e-health and for e-care. The papers are organized in the following topical sections: big data technologies for e-health; and big data technologies for e-care.
- Geräte: PC
- ohne Kopierschutz
- eBook Hilfe
- Größe: 10.8MB
Andere Kunden interessierten sich auch für
- IoT and Big Data Technologies for Health Care (eBook, PDF)81,95 €
- IoT and Big Data Technologies for Health Care (eBook, PDF)73,95 €
- Body Area Networks. Smart IoT and Big Data for Intelligent Health Management (eBook, PDF)40,95 €
- Body Area Networks. Smart IoT and Big Data for Intelligent Health (eBook, PDF)40,95 €
- -23%11IoT Technologies for Health Care (eBook, PDF)61,95 €
- Body Area Networks. Smart IoT and Big Data for Intelligent Health Management (eBook, PDF)57,95 €
- -23%11IoT Technologies for HealthCare (eBook, PDF)40,95 €
-
-
-
This book constitutes the refereed proceedings of the Third EAI International Conference on IoT and Big Data Technologies for Health Care, IotCARE 2022, which took place virtually during December 12-13, 2022.
The 23 papers included in this volume were carefully reviewed and selected from 67 submissions. The papers are present newest results in big data technologies for e-health and for e-care. The papers are organized in the following topical sections: big data technologies for e-health; and big data technologies for e-care.
The 23 papers included in this volume were carefully reviewed and selected from 67 submissions. The papers are present newest results in big data technologies for e-health and for e-care. The papers are organized in the following topical sections: big data technologies for e-health; and big data technologies for e-care.
Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.
Produktdetails
- Produktdetails
- Verlag: Springer International Publishing
- Seitenzahl: 339
- Erscheinungstermin: 23. Mai 2023
- Englisch
- ISBN-13: 9783031335457
- Artikelnr.: 68117821
- Verlag: Springer International Publishing
- Seitenzahl: 339
- Erscheinungstermin: 23. Mai 2023
- Englisch
- ISBN-13: 9783031335457
- Artikelnr.: 68117821
- Herstellerkennzeichnung Die Herstellerinformationen sind derzeit nicht verfügbar.
Big data technologies for e-health: A Review of Computer-Assisted Techniques Performances in Malaria diagnosis.- Research on Cloud Health Privacy Information Protection Algorithm Based on Data Mining.- Data Security Mining Method for Social Media Users' Mental Health Status Test Based on Machine Learning Algorithm.- Early Warning Method of College Students Mental Subhealth Based on Internet of Things.- Automatic Assessment Method of College Students Psychological Stress Based on Medical Big Data.- Research on Medical Sensitive Data Protection Algorithm Based on Differential Privacy.- Classification and Storage Method of Medical Health Monitoring Data Based on Bayesian Algorithm.- Analysis on The Balance of Health Care Resource Allocation Based on Improved Machine Learning.- Data Acquisition Method of Human Injury in Sports Based on Internet of Things.- Big data technologies for e-care.- The Psychosocial Therapy Mode Intervened in the Emotion Management of Property Management Staff.- Personalized Recommendation Method of Maternal and Child Health Education Resources Based on Association Rule Mining Algorithm.- Methods of Integrating Ideological and political education into health management in Colleges and Universities Based on Internet of things technology.- Data Mining of Psychological Tendency and Health of Students in Ideological and Political Middle School Students in Tourism English Course in Higher Vocational Colleges Based on SVM.- Intelligent Imaging Method of Nuclear Magnetic Resonance Medical Devices Based on Compression Sensing.- Evaluation of Post Fitness of Employees in Health Care Enterprises Based on Big Data.- Design of Telemedicine and Health Care System Based on Embedded Technology.- Anomaly Detection Method of Healthcare Internet of Things Gateway Supporting Edge Computing.- Research on Fast Encryption of Electronic Health Record Data Based on Privacy Protection.- Research on Secure Storage of Healthcare Data in The Environment of Internet of Things.- Architecture of Wide Area Health Monitoring System.- Internet of Things Technologies in Healthcare for People with Hearing Impairments.- Artificial Intelligence-Based Early Warning Method forAbnormal Operation and Maintenance Data of Medical and Health Equipment.- Abnormal Signal Recognition Method of Wearable Sensor Based on Machine Learning.
Big data technologies for e-health: A Review of Computer-Assisted Techniques Performances in Malaria diagnosis.- Research on Cloud Health Privacy Information Protection Algorithm Based on Data Mining.- Data Security Mining Method for Social Media Users' Mental Health Status Test Based on Machine Learning Algorithm.- Early Warning Method of College Students Mental Subhealth Based on Internet of Things.- Automatic Assessment Method of College Students Psychological Stress Based on Medical Big Data.- Research on Medical Sensitive Data Protection Algorithm Based on Differential Privacy.- Classification and Storage Method of Medical Health Monitoring Data Based on Bayesian Algorithm.- Analysis on The Balance of Health Care Resource Allocation Based on Improved Machine Learning.- Data Acquisition Method of Human Injury in Sports Based on Internet of Things.- Big data technologies for e-care.- The Psychosocial Therapy Mode Intervened in the Emotion Management of Property Management Staff.- Personalized Recommendation Method of Maternal and Child Health Education Resources Based on Association Rule Mining Algorithm.- Methods of Integrating Ideological and political education into health management in Colleges and Universities Based on Internet of things technology.- Data Mining of Psychological Tendency and Health of Students in Ideological and Political Middle School Students in Tourism English Course in Higher Vocational Colleges Based on SVM.- Intelligent Imaging Method of Nuclear Magnetic Resonance Medical Devices Based on Compression Sensing.- Evaluation of Post Fitness of Employees in Health Care Enterprises Based on Big Data.- Design of Telemedicine and Health Care System Based on Embedded Technology.- Anomaly Detection Method of Healthcare Internet of Things Gateway Supporting Edge Computing.- Research on Fast Encryption of Electronic Health Record Data Based on Privacy Protection.- Research on Secure Storage of Healthcare Data in The Environment of Internet of Things.- Architecture of Wide Area Health Monitoring System.- Internet of Things Technologies in Healthcare for People with Hearing Impairments.- Artificial Intelligence-Based Early Warning Method forAbnormal Operation and Maintenance Data of Medical and Health Equipment.- Abnormal Signal Recognition Method of Wearable Sensor Based on Machine Learning.