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...

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Detalles Bibliográficos
Autores principales: Phirom, Krittaya, Charoenkwan, Phasit, Shoombuatong, Watshara, Charoenkwan, Pimlak, Sirichotiyakul, Supatra, Tongsong, Theera
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9654007/
https://www.ncbi.nlm.nih.gov/pubmed/36362531
http://dx.doi.org/10.3390/jcm11216305

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