Published on 04.03.2025 in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/68863, first published November 25, 2024.

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

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

; Tohru Aomori²

; Tomohiro Nishiyama³

; Reina Fujiki⁵

; Haruki Ishikawa⁵

; Keisuke Kiyomiya⁴

; Minae Isawa⁴

; Mayumi Mochizuki⁴

; Eiji Aramaki³

; Hisakazu Ohtani^{1, 5, 6}

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