Abstract
At present, there is still a big gap in the field of medical and health services in China. China has a large population, and per capita medical resources are relatively scarce; on the other hand, there are some problems in China’s medical system, such as backward medical facilities and unbalanced distribution of resources, which make it impossible to effectively use medical resources. The establishment of an intelligent health management system with patients as the core is the key to the establishment of an intelligent health service system. In the process of establishing an intelligent health management platform, we should start with improving the health management of patients and their satisfaction, and take their economic burden into account economically. At present, our government has issued a series of policies to support the development of intelligent medicine. The intelligent health service platform is based on the Internet of Things (IoT) and deep learning (DL) technology and uses China’s advanced medical resources to improve the medical quality and satisfaction of patients.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Pawar, P., Parolia, N., Shinde, S., Edoh, T.O., Singh, M.: eHealthChain: a blockchain-based personal health information management system. Ann. des Télécommun. 77(1–2), 33–45 (2022)
Ali, F., Haapasalo, H., Tampio, K.P., Haapasalo, H.: Analysing the challenges in stakeholder relationship management in the healthcare process: a social network perspective. Int. J. Netw. Virtual Organ. 26(1/2), 125–156 (2022)
Tang, V., Lam, H.Y., Wu, C.H., Ho, G.T.S.: A two-echelon responsive health analytic model for triggering care plan revision in geriatric care management. J. Organ. End User Comput. 34(4), 1–29 (2022)
Mehdizadeh, N., Farzaneh, N.: An evidence theory based approach in detecting malicious controller in the multi-controller software-defined IoT network. Ad Hoc Sens. Wirel. Netw. 51(4), 235–260 (2022)
Radha, D., Kavitha, M.G.: DL enabled privacy preserving techniques for intrusion detection systems in the industrial IoT. Ad Hoc Sens. Wirel. Netw. 52(3–4), 223–247 (2022)
Papanagnou, C.I.: Measuring and eliminating the bullwhip in closed loop supply chains using control theory and IoT. Ann. Oper. Res. 310(1), 153–170 (2022)
Alattas, K., Wu, Q.: A framework to evaluate the barriers for adopting the internet of medical things using the extended generalized TODIM method under the hesitant fuzzy environment. Appl. Intell. 52(12), 13345–13363 (2022)
Wu, J.M.T., Li, Z., Srivastava, G., Yun, U., Lin, J.C.W.: Analytics of high average-utility patterns in the industrial IoT. Appl. Intell. 52(6), 6450–6463 (2022)
Corno, F., Russis, L.D., Roffarello, A.M.: How do end-users program the IoT? Behav. Inf. Technol. 41(9), 1865–1887 (2022)
Kim, J., Park, E.: Understanding social resistance to determine the future of IoT (IoT) services. Behav. Inf. Technol. 41(3), 547–557 (2022)
Almagrabi, A.O., Ali, R., Alghazzawi, D., AlBarakati, A., Khurshaid, T.: A reinforcement learning-based framework for crowdsourcing in massive health care IoT. Big Data 10(2), 161–170 (2022)
Chang, V., Kacsuk, P., Wills, G., Behringer, R.: Call for special issue papers: big data and the internet-of-things in complex information systems: selections from IoTBDS 2022 and COMPLEXIS 2022: deadline for manuscript submission: September 30, 2022. Big Data 10(2), 93–94 (2022)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2024 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Xiao, Y. (2024). Design and Implementation of a Health Monitoring Management Platform Based on IoT and DL. In: Kountchev, R., Patnaik, S., Nakamatsu, K., Kountcheva, R. (eds) Proceedings of International Conference on Artificial Intelligence and Communication Technologies (ICAICT 2023). ICAICT 2023. Smart Innovation, Systems and Technologies, vol 368. Springer, Singapore. https://doi.org/10.1007/978-981-99-6641-7_24
Download citation
DOI: https://doi.org/10.1007/978-981-99-6641-7_24
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-99-6640-0
Online ISBN: 978-981-99-6641-7
eBook Packages: EngineeringEngineering (R0)