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Detecting Severe Incidents from Electronic Medical Records Using Machine Learning Methods

Kazuya Okamoto*, Takashi Yamamoto, Luciano H.O. Santos, Shusuke Hiragi, Osamu Sugiyama, Goshiro Yamamoto, Masahiro Hirose, Tomohiro Kuroda

. 2020 ; 16 (1) : 12-14.

Jazyk angličtina Země Česko

Perzistentní odkaz   https://www.medvik.cz/link/bmc20009492

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.

Citace poskytuje Crossref.org

Bibliografie atd.

Literatura

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