IoT and Big Data Technologies for Health Care by Wang, Shuihua;

Third EAI International Conference, IoTCare 2022, Virtual Event, December 12-13, 2022, Proceedings

Sorozatcím: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering; 501;

20% KEDVEZMÉNY?
A kedvezmény csak az 'Értesítés a kedvenc témákról' hírlevelünk címzettjeinek rendeléseire érvényes.

Kiadói listaár EUR 85.59
Az ár azért becsült, mert a rendelés pillanatában nem lehet pontosan tudni, hogy a beérkezéskor milyen lesz a forint árfolyama az adott termék eredeti devizájához képest. Ha a forint romlana, kissé többet, ha javulna, kissé kevesebbet kell majd fizetnie.

35 498 Ft (33 808 Ft + 5% áfa)
Kedvezmény(ek) 20% (cc. 7 100 Ft off)
Kedvezményes ár 28 399 Ft (27 046 Ft + 5% áfa)

35 498 Ft

Beszerezhetőség

Megrendelésre a kiadó utánnyomja a könyvet. Rendelhető, de a szokásosnál kicsit lassabban érkezik meg.

A termék adatai:

Kiadás sorszáma 1st ed. 2023
Kiadó Springer Nature Switzerland
Megjelenés dátuma 2023. május 24.
Kötetek száma 1 pieces, Book

ISBN 9783031335440
Kötéstípus Puhakötés
Terjedelem339 oldal
Méret 235x155 mm
Súly 545 g
Nyelv angol
Illusztrációk XIII, 339 p. 101 illus., 14 illus. in color. Illustrations, black & white

Kategóriák

Az orvostudomány általános kérdései Beteggondozás Fizioterápia, rehabilitáció, foglalkoztatási terápia Közgazdaságtan Menedzsment, vállalatirányítás Az orvostudomány általános kérdései (karitatív célú kampány) Beteggondozás (karitatív célú kampány) Fizioterápia, rehabilitáció, foglalkoztatási terápia (karitatív célú kampány) Közgazdaságtan (karitatív célú kampány) Menedzsment, vállalatirányítás (karitatív célú kampány)

Hosszú leírás:

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.

Több

Tartalomjegyzék:

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 for

Abnormal Operation and Maintenance Data of Medical and Health Equipment.- Abnormal Signal Recognition Method of Wearable Sensor Based on Machine Learning.

Több

Mostanában megtekintett