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DeepThal: A Deep Learning-Based Framework for the Large-Scale Prediction of the α(+)-Thalassemia Trait Using Red Blood Cell Parameters
Objectives: To develop a machine learning (ML)-based framework using red blood cell (RBC) parameters for the prediction of the α(+)-thalassemia trait (α(+)-thal trait) and to compare the diagnostic performance with a conventional method using a single RBC parameter or a combination of RBC parameters...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9654007/ https://www.ncbi.nlm.nih.gov/pubmed/36362531 http://dx.doi.org/10.3390/jcm11216305 |