
Research Article
Classification and Storage Method of Medical Health Monitoring Data Based on Bayesian Algorithm
@INPROCEEDINGS{10.1007/978-3-031-33545-7_7, author={Xiaofeng Li and Zhongwei Chen}, title={Classification and Storage Method of Medical Health Monitoring Data Based on Bayesian Algorithm}, proceedings={IoT and Big Data Technologies for Health Care. Third EAI International Conference, IoTCare 2022, Virtual Event, December 12-13, 2022, Proceedings}, proceedings_a={IOTCARE}, year={2023}, month={5}, keywords={Bayesian Algorithm Medical Health Monitoring Data Data Classification Storage}, doi={10.1007/978-3-031-33545-7_7} }
- Xiaofeng Li
Zhongwei Chen
Year: 2023
Classification and Storage Method of Medical Health Monitoring Data Based on Bayesian Algorithm
IOTCARE
Springer
DOI: 10.1007/978-3-031-33545-7_7
Abstract
In the storage of medical health monitoring data, the overall storage is chaotic and takes up more backup space. A classified storage method of medical health monitoring data based on Bayesian algorithm is designed. Collect and integrate medical health monitoring data. Data collection is realized by relying on the unified data exchange platform in the big data platform. Each collection node uploads the required data by accessing the data exchange platform. Data integration is mainly about data preprocessing of collected medical and health big data. Based on Bayesian algorithm, an integrated naive Bayesian algorithm based on knowledge transfer is designed to implement the classification and processing of medical health monitoring data. A hybrid storage model is designed to implement the classified storage of medical health monitoring data. Test the data classification and storage performance of the design method. The test results show that the method has less startup nodes, less computing power requirements as a whole, can realize the sharing of medical and health monitoring data, and the data classification time is relatively short as a whole, which proves that the method has a broad application space.