Abstract
In many countries worldwide, especially in Japan, Germany, and Italy, there is an ongoing trend of an aging population. With this comes the enhancement and effective use of health data. While many nations are engaging in health data initiatives, particularly the organization and utilization of clinical information, there are numerous challenges in the actual utilization of the data. Bayesian networks have been gaining traction in various research fields, with their applications in the medical sector drawing significant attention. In this study, we utilized Bayesian networks to tackle regional medical challenges by leveraging data that integrates medical care, nursing, and health services. Using the American open data NHANES, we constructed and evaluated a Bayesian network, demonstrating the utility of networks developed through feature selection in general model construction.
Recommended Citation
Kawashima, Miyako; Ohba, Haruka; and Mizuno, Shinya, "Development of Bayesian network-based regional healthcare analysis model for data-driven approach" (2023). ICEB 2023 Proceedings (Chiayi, Taiwan). 11.
https://aisel.aisnet.org/iceb2023/11