Performance Improvement of a Natural Language Processing Tool for Extracting Patient Narratives Related to Medical States From Japanese Pharmaceutical Care Records by Increasing the Amount of Training Data: Natural Language Processing Analysis and Validation Study

Performance Improvement of a Natural Language Processing Tool for Extracting Patient Narratives Related to Medical States From Japanese Pharmaceutical Care Records by Increasing the Amount of Training Data: Natural Language Processing Analysis and Validation Study

Authors of this article:

Yukiko Ohno¹ ;   Tohru Aomori² ;   Tomohiro Nishiyama³ ;   Riri Kato⁴ ;   Reina Fujiki⁵ ;   Haruki Ishikawa⁵ ;   Keisuke Kiyomiya⁴ ;   Minae Isawa⁴ ;   Mayumi Mochizuki⁴ ;   Eiji Aramaki³ ;   Hisakazu Ohtani^{1, 5, 6}