Detection Algorithms for Gastrointestinal Perforation Cases in the Medical Information Database Network (MID-NET()) in Japan

database[Title] 2024-04-25

Summary:

CONCLUSION: This study developed valuable GIP identification algorithms for MID-NET^(®), revealing the trade-offs between accuracy and sensitivity. The algorithm with the most reasonable balance was determined. These findings enhance pharmacovigilance efforts and facilitate further research to optimize adverse event detection algorithms.

Link:

https://pubmed.ncbi.nlm.nih.gov/38644459/?utm_source=Other&utm_medium=rss&utm_campaign=pubmed-2&utm_content=12QQbiNmM99eUQGIX1JjHIKcROC1Vzv4sOS-2S_LNI19uG_Yrk&fc=20220129225649&ff=20240425022452&v=2.18.0.post9+e462414

From feeds:

📚BioDBS Bibliography » database[Title]

Tags:

Authors:

Masatoshi Tanigawa, Mei Kohama, Kaori Hirata, Rieko Izukura, Tadashi Kandabashi, Yoko Kataoka, Naoki Nakashima, Michio Kimura, Yoshiaki Uyama, Hideto Yokoi

Date tagged:

04/25/2024, 02:24

Date published:

04/21/2024, 06:00