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Assessment of software-derived predictive algorithms for platelet yield and blood cell count after apheresis.

Eduardo Cienfuegos-PecinaSergio Ayala-De la CruzErika R Leal-NavaJorge A Pérez-OlveraJorge M Llaca-DíazLuz E Avilés-RodríguezFernando Pérez-ChávezErik A Díaz-Chuc
Published in: Journal of clinical apheresis (2020)
The predictive algorithm for the platelet yield showed bias, and a trend to underestimate the actual platelet yields when they are higher. The algorithms for the prediction of the PAPC and hematocrit did not show bias, proving their accuracy. Prediction of a single or double platelet product extraction has a strong agreement with the APY.
Keyphrases
  • machine learning
  • deep learning
  • stem cells
  • bone marrow