Machine Learning Model Based on Lipidomic Profile Information to Predict Sudden Infant Death Syndrome

Sudden infant death syndrome (SIDS) represents the leading cause of death in under one year of age in developing countries. Even in our century, its etiology is not clear, and there is no biomarker that is discriminative enough to predict the risk of suffering from it. Therefore, in this work, takin...

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Detalles Bibliográficos
Autores principales: Villagrana-Bañuelos, Karen E., Galván-Tejada, Carlos E., Galván-Tejada, Jorge I., Gamboa-Rosales, Hamurabi, Celaya-Padilla, José M., Soto-Murillo, Manuel A., Solís-Robles, Roberto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9317003/
https://www.ncbi.nlm.nih.gov/pubmed/35885829
http://dx.doi.org/10.3390/healthcare10071303

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9317003/
https://www.ncbi.nlm.nih.gov/pubmed/35885829
http://dx.doi.org/10.3390/healthcare10071303

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