This paper is in the following e-collection/theme issue:

Artificial Intelligence (1769) Machine Learning (1765) Decision Support for Health Professionals (1357) Big Data (284) Safety and Error Prevention in Health (226) Natural Language Processing (808) Innovations and Technology in Cancer Care (468) Adverse Drug Events Detection, Pharmacovigilance and Surveillance (188) Pharmacovigilance (155)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/55794, first published .
Adverse Event Signal Detection Using Patients’ Concerns in Pharmaceutical Care Records: Evaluation of Deep Learning Models

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

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

Authors of this article:

Satoshi Nishioka1 Author Orcid Image ;   Satoshi Watabe1 Author Orcid Image ;   Yuki Yanagisawa1 Author Orcid Image ;   Kyoko Sayama1 Author Orcid Image ;   Hayato Kizaki1 Author Orcid Image ;   Shungo Imai1 Author Orcid Image ;   Mitsuhiro Someya2 Author Orcid Image ;   Ryoo Taniguchi2 Author Orcid Image ;   Shuntaro Yada3 Author Orcid Image ;   Eiji Aramaki3 Author Orcid Image ;   Satoko Hori1 Author Orcid Image
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New in JMIR: Adverse Event Signal Detection Using ##Patients’ Concerns in #Pharmaceutical Care Records: Evaluation of Deep Learning Models https://t.co/j5lybC4t1Y https://t.co/6xq8oYPide

2:58 PM · Apr 16, 2024

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RT @jmirpub: New in JMIR: Adverse Event Signal Detection Using ##Patients’ Concerns in #Pharmaceutical Care Records: Evaluation of Deep Lea…

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Tom Bellis Tom Bellis @tommybellis

Adverse Event Signal Detection Using Patients’ Concerns in Pharmaceutical Care Records: Evaluation of Deep Learning Models https://t.co/oHXJckUT8B https://t.co/DuKJtoWHFQ

4:08 PM · Apr 16, 2024

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あらまき あらまき @ARAMAKI

強風の中　国立がん研究センターへ いつもと違う道を使うと　入り口を見失ってしまう 薬歴から手足症候群のシグナルを抽出する研究をお手伝いさせていただきました https://t.co/9OmR7xOjEh 慶應大との共同研究です JMIRから https://t.co/3CNrO5oC4S

11:32 PM · Apr 16, 2024

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STELLANEWS.LIFE STELLANEWS.LIFE @stellanewslife

Adverse Event Signal Detection Using Patients’ Concerns in Pharmaceutical Care Records: Evaluation of Deep Learning Models https://t.co/uR22jXeiIY #副作用検出 #がん治療支援 #AI医療応用 #薬局記録分析 #ディープラーニング #JMedInternetRes

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