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

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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Bibliographic Details
Main Authors: Karen E. Villagrana-Bañuelos, Carlos E. Galván-Tejada, Jorge I. Galván-Tejada, Hamurabi Gamboa-Rosales, José M. Celaya-Padilla, Manuel A. Soto-Murillo, Roberto Solís-Robles
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Healthcare
Subjects:
SIDS
lipidomic
metabolomic
glycerophospholipids
machine learning
biomarker
Online Access:https://www.mdpi.com/2227-9032/10/7/1303

Internet

https://www.mdpi.com/2227-9032/10/7/1303

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