IoT and Big Data Technologies for Health Care [[electronic resource] ] : Third EAI International Conference, IoTCare 2022, Virtual Event, December 12-13, 2022, Proceedings / / edited by Shuihua Wang

• Pubblicazione: Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
• Edizione: 1st ed. 2023.
• Descrizione fisica: 1 online resource (349 pages)
• Disciplina: 005.7
• Soggetto topico: Medical care; Health Care
• Soggetto non controllato: Medicine; Medical
• Persona (resp. second.): WangShuihua
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: 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.
• Sommario/riassunto: 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.
• Titolo autorizzato: IoT and Big Data Technologies for Health Care
• ISBN: 9783031335457; 9783031335440
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 996546839803316
• Lo trovi qui: Univ. di Salerno
• Serie: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, . 1867-822X ; ; 501