Data-Driven Clinical Pharmacy Research: Utilizing Machine Learning and Medical Big Data
S Imai - Biological and Pharmaceutical Bulletin, 2024 - jstage.jst.go.jp
To conduct clinical pharmacy research, we often face the limitations of conventional
statistical methods and single-center observational study. To overcome these issues, we …
statistical methods and single-center observational study. To overcome these issues, we …
Streamlining Considerations for Safety Measures: A Predictive Model for Addition of Clinically Significant Adverse Reactions to Japanese Drug Package Inserts
T Watanabe, K Ambe, M Tohkin - Biological and Pharmaceutical …, 2024 - jstage.jst.go.jp
The addition of clinically significant adverse reactions (CSARs) to Japanese package inserts
(PIs) is an important safety measure that can be used to inform medical personnel of …
(PIs) is an important safety measure that can be used to inform medical personnel of …
[引用][C] Comment: Detection of Vaccine Adverse Events Before Package Insert Revisions Using a Japanese Spontaneous Reporting System
Y Noguchi, T Yoshimura - The Journal of Clinical …, 2023 - Wiley Online Library
We read with great interest the research article by Suzuki S et al [1]. Although it is very useful
to understand the utilization of the Japanese Adverse Drug Event Report (JADER) database …
to understand the utilization of the Japanese Adverse Drug Event Report (JADER) database …
[引用][C] Reply to: Comment: Detection of Vaccine Adverse Events Before Package Insert Revisions Using a Japanese Spontaneous Reporting System
S Suzuki, S Imai, S Mitsuboshi, H Kizaki… - The Journal of …, 2023 - Wiley Online Library
First, we agree with their opinion that the result of signal detection is one of the triggers for
revising package inserts. As pointed out, signal detection with Japanese Adverse Drug …
revising package inserts. As pointed out, signal detection with Japanese Adverse Drug …