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

• Main Authors: Satoshi Nishioka (Author), Satoshi Watabe (Author), Yuki Yanagisawa (Author), Kyoko Sayama (Author), Hayato Kizaki (Author), Shungo Imai (Author), Mitsuhiro Someya (Author), Ryoo Taniguchi (Author), Shuntaro Yada (Author), Eiji Aramaki (Author), Satoko Hori (Author)
• Format: Book
• Published: JMIR Publications, 2024-04-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

BackgroundEarly detection of adverse events and their management are crucial to improving anticancer treatment outcomes, and listening to patients' subjective opinions (patients' voices) can make a major contribution to improving safety management. Recent progress in deep learning technolo...