Article Open Access http://dx.doi.org/10.26855/acc.2023.10.006
Research on the Integration of Computer Human-computer Interaction Technology and Multimedia Medical Big Data Interaction System
Yongdan Zeng1, Ziming Wang2,*, Wei Zheng2
1Sichuan University Jinjiang College, Chengdu, Sichuan, China.
2West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China.
*Corresponding author: Ziming Wang
Published: November 22,2023
Abstract
Computer human-computer interaction technology, based on multimedia interaction and data processing, is an important component of artificial intelligence. It is beneficial for the healthcare system to organize fragmented multimedia medical information in medical applications. This can assist in medical diagnosis, improve medical services, promote the integration and sharing of multimedia medical big data, and provide a reference for the government's informed decision-making. To promote a more equitable distribution of medical resources. This paper first introduces the related concepts and research progress of computer human-computer interaction technology and multimedia medical big data interaction system. It then proposes a new model of computer human-computer interaction technology and a new framework of multimedia medical big data interaction system. Finally, it discusses the development of a national-level system. Medical databases and cloud platforms are integrating existing data mining techniques, which is the future direction of development. This integration aims to emphasize the urgency and necessity of optimizing industry guidelines and accelerating the research and development of high-end medical equipment domestically.
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How to cite this paper
Research on the Integration of Computer Human-computer Interaction Technology and Multimedia Medical Big Data Interaction System
How to cite this paper: Yongdan Zeng, Ziming Wang, Wei Zheng. (2023) Research on the Integration of Computer Human-computer Interaction Technology and Multimedia Medical Big Data Interaction System. Advances in Computer and Communication, 4(5), 294-298.
DOI: http://dx.doi.org/10.26855/acc.2023.10.006