A data mining-based cross-industry process for predicting major bleeding in mechanical circulatory support

AIMS: Over a third of patients, treated with mechanical circulatory support (MCS) for end-stage heart failure, experience major bleeding. Currently, the prediction of a major bleeding in the near future is difficult because of many contributing factors. Predictive analytics using data mining could h...

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Detalles Bibliográficos
Autores principales: Felix, Susanne E A, Bagheri, Ayoub, Ramjankhan, Faiz R, Spruit, Marco R, Oberski, Daniel, de Jonge, Nicolaas, van Laake, Linda W, Suyker, Willem J L, Asselbergs, Folkert W
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Original Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9707970/
https://www.ncbi.nlm.nih.gov/pubmed/36713101
http://dx.doi.org/10.1093/ehjdh/ztab082

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9707970/
https://www.ncbi.nlm.nih.gov/pubmed/36713101
http://dx.doi.org/10.1093/ehjdh/ztab082

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