[2S6-OS-7a] OS-7

[2S6-OS-7a-03] Analysis of diseases and symptoms in medical documents by natural language processing

Identification of cases with acute allergic skin symptoms due to vancomycin hydrochloride

〇Yukiko Ohno¹, Tohru Aomori^1,2,3, Keisuke Kiyomiya², Haruki Ishikawa³, Tomohiro Nishiyama⁴, Minae Isawa², Mayumi Mochizuki², Eiji Aramaki⁴, Hisakazu Ohtani^1,2,3 (1. Keio Univ. Grad. Sch. Pharm. Sci., 2. Keio Univ. Fac. Pharm., 3. Keio Univ. Hosp. Dep. Pharm., 4. NAIST)

Keywords:NLP, NER, clinical record

New adverse events not detected in pre-marketing clinical trials sometimes emerge after medicines have entered the market. Therefore, systems that can extract the terminology of diseases and symptoms from unstructured data such as medical records are needed to enable automatic monitoring of adverse events. In this study, we analyzed nursing records of patients treated with vancomycin hydrochloride using a disease extraction system and a terminology list of allergic skin symptoms to identify cases with these symptoms and their occurrence frequency in a period with many occurrences and other period. The accuracy of the proposed method in detecting cases was assessed using the F-measure, which was found to be 0.71-0.74, and changes in the occurrence frequency between two periods were almost equal for the proposed method and visual confirmation by the researcher. These results suggest that the proposed method can be used for monitoring allergic skin symptoms due to vancomycin hydrochloride.