Reduction of Platelet Outdating and Shortage by Forecasting Demand With Statistical Learning and Deep Neural Networks: Modeling Study

BACKGROUND: Platelets are a valuable and perishable blood product. Managing platelet inventory is a demanding task because of short shelf lives and high variation in daily platelet use patterns. Predicting platelet demand is a promising step toward avoiding obsolescence and shortages and ensuring op...

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Detalles Bibliográficos
Autores principales: Schilling, Maximilian, Rickmann, Lennart, Hutschenreuter, Gabriele, Spreckelsen, Cord
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2022
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8848235/
https://www.ncbi.nlm.nih.gov/pubmed/35103612
http://dx.doi.org/10.2196/29978

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8848235/
https://www.ncbi.nlm.nih.gov/pubmed/35103612
http://dx.doi.org/10.2196/29978

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