IoT and Big Data Technologies for Health Care Third EAI International Conference, IoTCare 2022, Virtual Event, December 12-13, 2022, Proceedings /
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 submissi...
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| Materyal Türü: | Elektronik Ekitap |
| Dil: | İngilizce |
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Cham :
Springer Nature Switzerland : Imprint: Springer,
2023.
|
| Edisyon: | 1st ed. 2023. |
| Seri Bilgileri: | Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering,
501 |
| Konular: | |
| Online Erişim: | https://doi.org/10.1007/978-3-031-33545-7 |
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| 245 | 1 | 0 | |a IoT and Big Data Technologies for Health Care |h [electronic resource] : |b Third EAI International Conference, IoTCare 2022, Virtual Event, December 12-13, 2022, Proceedings / |c edited by Shuihua Wang. |
| 250 | |a 1st ed. 2023. | ||
| 264 | 1 | |a Cham : |b Springer Nature Switzerland : |b Imprint: Springer, |c 2023. | |
| 300 | |a 1 online resource (XIII, 339 p. 101 illus.). |b 14 illus. in color. | ||
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| 490 | 1 | |a Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, |x 1867-822X ; |v 501 | |
| 505 | 0 | |a 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. | |
| 520 | |a 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. | ||
| 588 | |a Print version record. | ||
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| 650 | 1 | 4 | |a Health Care. |
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| 830 | 0 | |a Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, |x 1867-822X ; |v 501 | |
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