Cargando…
Predicting Individual Patient Platelet Demand in a Large Tertiary Care Hospital Using Machine Learning
INTRODUCTION: An increasing shortage of donor blood is expected, considering the demographic change in Germany. Due to the short shelf life and varying daily fluctuations in consumption, the storage of platelet concentrates (PCs) becomes challenging. This emphasizes the need for reliable prediction...
Autores principales: | Engelke, Merlin, Brieske, Christian Martin, Parmar, Vicky, Flaschel, Nils, Kureishi, Anisa, Hosch, Rene, Koitka, Sven, Schmidt, Cynthia Sabrina, Horn, Peter A., Nensa, Felix |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
S. Karger AG
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10521242/ https://www.ncbi.nlm.nih.gov/pubmed/37767277 http://dx.doi.org/10.1159/000528428 |
Ejemplares similares
-
FHIR-PYrate: a data science friendly Python package to query FHIR servers
por: Hosch, René, et al.
Publicado: (2023) -
Biomarkers extracted by fully automated body composition analysis from chest CT correlate with SARS-CoV-2 outcome severity
por: Hosch, René, et al.
Publicado: (2022) -
Fully automated preoperative liver volumetry incorporating the anatomical location of the central hepatic vein
por: Koitka, Sven, et al.
Publicado: (2022) -
Contrast agent dose reduction in computed tomography with deep learning using a conditional generative adversarial network
por: Haubold, Johannes, et al.
Publicado: (2021) -
Artificial intelligence guided enhancement of digital PET: scans as fast as CT?
por: Hosch, René, et al.
Publicado: (2022)