Adverse Event Signal Detection Using Patients' Concerns in Pharmaceutical Care Records: Evaluation of Deep Learning Models.

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第一作者： Satoshi,Nishioka

第一单位： Division of Drug Informatics, Keio University Faculty of Pharmacy, Tokyo, Japan.

作者： Satoshi,Nishioka ^[1] ; Satoshi,Watabe ^[1] ; Yuki,Yanagisawa ^[1] ; Kyoko,Sayama ^[1] ; Hayato,Kizaki ^[1] ; Shungo,Imai ^[1] ; Mitsuhiro,Someya ^[2] ; Ryoo,Taniguchi ^[2] ; Shuntaro,Yada ^[3] ; Eiji,Aramaki ^[3] ; Satoko,Hori ^[1]

作者单位： Division of Drug Informatics, Keio University Faculty of Pharmacy, Tokyo, Japan. ^[1] Nakajima Pharmacy, Hokkaido, Japan. ^[2] Nara Institute of Science and Technology, Nara, Japan. ^[3]

关键词 SOAP adverse event anticancer drug cancer deep learning natural language processing patient narrative patient-oriented patient-reported outcome patients’ voice pharmaceutical care record side effect

主题词人类(Humans);处方(Prescriptions);抗肿瘤药(Antineoplastic Agents);肿瘤(Neoplasms)

DOI 10.2196/55794

PMID 38625718

发布时间 2024-12-11

翻译满意度评价：

准确一般字义偏差语意偏离译文作用小提交