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Neural network ensemble model for prediction of erythrocyte sedimentation rate (ESR) using partial least squares regression
The erythrocyte sedimentation rate (ESR) is a non-specific blood test for determining inflammatory conditions. However, the long measurement time (60 min) to obtain ESR is an obstacle for a prompt evaluation. In this study, to reduce the measurement time of ESR, deep neural networks (DNNs) were appl...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9666533/ https://www.ncbi.nlm.nih.gov/pubmed/36379969 http://dx.doi.org/10.1038/s41598-022-23174-0 |