Research on the Application of Data Mining in the Medical Field
- DOI
- 10.2991/978-94-6463-512-6_30How to use a DOI?
- Keywords
- Data mining; Clinical medicine; Machine learning; Medical management
- Abstract
Currently, there is a growing demand for the healthcare industry in society, generating vast amounts of complex data that are difficult for humans to process. Therefore, relying on data mining technology to analyze data can help the development of the medical field. This paper discusses the application of data mining in the medical field. Regarding data mining techniques, this paper references several articles to identify commonly used data mining algorithms. In the healthcare domain, concerning medical management and resource allocation, this paper refers to hospital management cases and analyzes the specific applications of data mining technology in hospital business, cost-effectiveness, and optimization of hospital resource allocation. For clinical medical diagnosis, this paper references some highly completed medical data mining models and analyzes their specific applications in predicting diseases, assisting clinical diagnosis, and treatment, thereby improving the accuracy and efficiency of clinical treatment. Finally, based on existing research, the paper proposes suggestions for the development of data mining in the medical field application.
- Copyright
- © 2024 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Yishan Liang PY - 2024 DA - 2024/09/23 TI - Research on the Application of Data Mining in the Medical Field BT - Proceedings of the 2024 International Conference on Artificial Intelligence and Communication (ICAIC 2024) PB - Atlantis Press SP - 268 EP - 275 SN - 1951-6851 UR - https://doi.org/10.2991/978-94-6463-512-6_30 DO - 10.2991/978-94-6463-512-6_30 ID - Liang2024 ER -