@inproceedings{c91287b72422408181a6fb6f67adf3e6,
title = "IoTBDH-2023: The 5th International Workshop on Internet of Things of Big Data for Healthcare",
abstract = "Internet of Things (IoT) enabled technology has rapidly and efficiently facilitate healthcare diagnose and treatment with low-cost and lightweight devices. Big data generated from IoT offers valuable and crucial information to guide decision-making, improve patient outcomes, and decrease healthcare costs, etc. The workshop is aiming to provide an opportunity for researchers and practitioners from both academia and industry to present the state-of-the-art research and applications in utilizing IoT and big data technology for healthcare by presenting efficient scientific and engineering solutions, addressing the needs and challenges for integration with new technologies, and providing visions for future research and development.",
keywords = "Big data, Healthcare, Internet of Things",
author = "Jun Qi and Yun Yang and Hongqing Yu and Zhibo Pang and Po Yang",
note = "Publisher Copyright: {\textcopyright} 2023 Copyright held by the owner/author(s).; 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023 ; Conference date: 21-10-2023 Through 25-10-2023",
year = "2023",
month = oct,
day = "21",
doi = "10.1145/3583780.3615299",
language = "English",
series = "International Conference on Information and Knowledge Management, Proceedings",
publisher = "Association for Computing Machinery",
pages = "5285--5288",
booktitle = "CIKM 2023 - Proceedings of the 32nd ACM International Conference on Information and Knowledge Management",
}