Prediction of Safety Indicators for Donor Blood and Its Components in a Statistically Managed Technological Process Based on Bayesian Inversion

Prediction of Safety Indicators for Donor Blood and Its Components in a Statistically Managed Technological Process Based on Bayesian Inversion

An algorithm predicting safety indicators for donor blood and its components in statistically controlled technological process based on Bayesian inversion was developed. A graphical software interface is presented which provides recommendations for release of blood components with decisions regardin...

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Veröffentlicht in:Biomedical engineering 2022-07, Vol.56 (2), p.114-118
Hauptverfasser: Vetrova, N. A., Lemondzhava, V. N., Filyaev, A. A., Gudkov, A. G., Shashurin, V. D., Leushin, V. Yu, Sidorkevich, S. V., Kas’yanov, A. D., Gorlacheva, E. N., Luneva, L. A.
Format: Artikel
Sprache:eng
Schlagworte:
Algorithms
Backup software
Bayesian analysis
Biomaterials
Biomedical and Life Sciences
Biomedicine
Blood
Blood & organ donations
Decision making
Engineering
Hematology
Indicators
Leukocytes
Logic
Quality control
Safety
Software
Statistical analysis
Statistical methods
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Zusammenfassung:An algorithm predicting safety indicators for donor blood and its components in statistically controlled technological process based on Bayesian inversion was developed. A graphical software interface is presented which provides recommendations for release of blood components with decisions regarding safety for medical use when integrated in control processes for the preparation, transportation, storage, and quality control of thermolabile blood components based on an information-analytical system.
ISSN:0006-3398
1573-8256
DOI:10.1007/s10527-022-10179-2