Validation of novel identification algorithms for major adverse cardiovascular events in a Japanese claims database

Predicting clinical outcomes can be difficult, particularly for life‐threatening events with a low incidence that require numerous clinical cases. Our aim was to develop and validate novel algorithms to identify major adverse cardiovascular events (MACEs) from claims databases. We developed algorith...

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Detalles Bibliográficos
Autores principales: Shima, Daisuke, Ii, Yoichi, Higa, Shingo, Kohro, Takahide, Hoshide, Satoshi, Kono, Ken, Fujimoto, Shigeru, Niijima, Satoshi, Tomitani, Naoko, Kario, Kazuomi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
New Directions of Hypertension Research in Asia
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8029538/
https://www.ncbi.nlm.nih.gov/pubmed/33369149
http://dx.doi.org/10.1111/jch.14151

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8029538/
https://www.ncbi.nlm.nih.gov/pubmed/33369149
http://dx.doi.org/10.1111/jch.14151

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