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

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 help ca...

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Veröffentlicht in:	European heart journal. Digital health 2021-12, Vol.2 (4), p.635-642
Hauptverfasser:	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
Format:	Artikel
Sprache:	eng
Online-Zugang:	Volltext
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