IoT and Big Data Technologies for Health Care

Fifth EAI International Conference, IoTCare 2024, December 7-8, 2024
Erscheinungsjahr 2025
ISBN: 978-3-031-90902-3
Verlag: Springer

Buch, Englisch, 276 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 598 g

Reihe: EAI/Springer Innovations in Communication and Computing

This book constitutes the refereed post-conference proceedings of the 5th International Conference on IoT and Big Data Technologies for Health Care, IoTCARE 2024, which took place December 7-8, 2024, in Leicester, UK. The conference aims to provide a forum for presentation and discussion the state-of-art and future perspectives of Internet of Things and big data of health care. Industry experts, researchers and academics gather to share ideas and experiences surrounding frontier technologies, breakthroughs, innovative solutions and research results, as well as initiatives related to IoT and health care, and their applications. The topic focuses on the convergence of IoT and big data technologies for e-health, e-care, lifestyle, aging population, smart personal living, etc., applications.

Zielgruppe

Research

Autoren/Hrsg.

Zhang, Zheng

Wang, Shuihua

Fachgebiete

• Mathematik | Informatik EDV | Informatik Technische Informatik Netzwerk-Hardware
• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik
• Mathematik | Informatik EDV | Informatik Angewandte Informatik Computeranwendungen in Wissenschaft & Technologie
• Technische Wissenschaften Technik Allgemein Computeranwendungen in der Technik

Inhaltsverzeichnis

Introduction.- 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.- Conclusion.

Über Autor(innen)

Dr. Zheng Zhang received his Ph.D. degree from the Harbin Institute of Technology (HIT), supervised by Prof. Yong Xu (Changjiang Professorship). He visited the Institute of Automation of Chinese Academy of Sciences, Beijing, advised by Prof. Cheng-Lin Liu (IEEE Fellow). After obtaining his doctoral degree, he became an Assistant Researcher at The Hong Kong Polytechnic University (PolyU), and later was a Postdoctoral Research Fellow at Data Science Group, The University of Queensland (UQ), Australia, supervised by Prof. Helen Huang. He was fortunately mentored by Prof. Heng Tao Shen (Member of Academia Europaea, ACM/IEEE Fellow) and Prof. Ling Shao (IEEE Fellow). Since 2019, he has been with School of Computer Science & Technology, Harbin Institute of Technology, Shenzhen, China. Dr. Zhang's research interests mainly focus on multimedia content understanding, especially multimedia retrieval, multi-modal learning, and big data analysis. He has published over 100 technical papers in prestigious international journals and conference proceedings. Notably, he has been honored with paper awards from ACM Multimedia Asia'21, EAI ICMTEL'22, and SMARTCOMP'14. He is a recipient of Distinguished Ph.D. Dissertation Award of CIE, Outstanding Young Research Achievement Award of CAAI, and Excellent Young Scientists Fund of Shenzhen. His innovative multimedia systems have garnered attention from mainstream media outlets such as UN COP26, Xinhua News, etc., and have been successfully transferred to prominent companies, such as Tencent, Huawei, ICBC, SZIDC, etc. He has been featured as the 'World's Top 2% Scientists' for several consecutive years. He is an IEEE and CCF Senior Member. Dr. Zheng Zhang serves/served as an Editorial Board Member for IEEE Trans. on Affective Computing (T-AC), IEEE Journal of Biomedical and Health Informatics (J-BHI), Information Sciences (INS), Information Fusion (INFFUS), Information Processing & Management (IP&M), Expert Systems with Applications (ESWA), among others. Additionally, he has contributed as an Area Chair or Senior PC for numerous top conferences, such as ICML, NeurIPS, CVPR, ACM MM, AAAI, IJCAI, etc. He has also demonstrated proficiency in organizing international conferences, such as ADMA 2021 and 2023, ACM Multimedia Asia 2021, along with several other notable events.

Dr. Shuihua Wang received her Ph.D. degree from Nanjing University in 2017. She worked as Assistant Professor at Nanjing Normal University (2013-2018) and served as a Research Associate at Loughborough University (2018-2019), at the University of Leicester (2019-2021) and Lecturer at the University of Leicester (2021-2023). Now, she is working as an Associate Professor at Xi’an Jiaotong-Liverpool University. Her research interests focus on Machine learning, Deep learning, Image processing, Information fusion, Data analysis, MRI sensors, CT sensors. She serves as a professional reviewer for many well-reputed journals and conferences including IEEE Transactions on Neural Networks and Learning Systems, NeuroComputing, Pattern Recognition, Scientific Reports, etc. She serves as Guest Editor of Information Processing and Management, IEEE Journal of Biomedical and Health Informatics, IEEE/ACM Transactions on Computational Biology and Bioinformatics and Measurement, Scientific Reports. She serves as Associate Editor of Information fusion, Neural Networks, and IEEE Transactions on Circuits and Systems for Video Technology (TCSVT).