Research Article
Detecting Severe Incidents from Electronic Medical Records Using Machine Learning Methods
Author(s):
Kazuya Okamoto*, Takashi Yamamoto, Luciano H.O. Santos, Shusuke Hiragi, Osamu Sugiyama, Goshiro Yamamoto, Masahiro Hirose and Tomohiro Kuroda
The goal of this research was to design a solution to detect non-reported incidents, especially severe incidents. To achieve this goal, we proposed a method to process electronic medical records and automatically extract clinical notes describing severe incidents. To evaluate the proposed method, we implemented a system and used the system. The system successfully detected a non-reported incident to the safety management department... Read More»