Mennickent, D.; Romero-Albornoz, L.; Gutiérrez-Vega, S.; Aguayo, C.; Marini, F.; Guzmán-Gutiérrez, E.; Araya, J.
Simple and Fast Prediction of Gestational Diabetes Mellitus Based on Machine Learning and Near-Infrared Spectra of Serum: A Proof of Concept Study at Different Stages of Pregnancy. Biomedicines 2024, 12, 1142.
https://doi.org/10.3390/biomedicines12061142
AMA Style
Mennickent D, Romero-Albornoz L, Gutiérrez-Vega S, Aguayo C, Marini F, Guzmán-Gutiérrez E, Araya J.
Simple and Fast Prediction of Gestational Diabetes Mellitus Based on Machine Learning and Near-Infrared Spectra of Serum: A Proof of Concept Study at Different Stages of Pregnancy. Biomedicines. 2024; 12(6):1142.
https://doi.org/10.3390/biomedicines12061142
Chicago/Turabian Style
Mennickent, Daniela, Lucas Romero-Albornoz, Sebastián Gutiérrez-Vega, Claudio Aguayo, Federico Marini, Enrique Guzmán-Gutiérrez, and Juan Araya.
2024. "Simple and Fast Prediction of Gestational Diabetes Mellitus Based on Machine Learning and Near-Infrared Spectra of Serum: A Proof of Concept Study at Different Stages of Pregnancy" Biomedicines 12, no. 6: 1142.
https://doi.org/10.3390/biomedicines12061142
APA Style
Mennickent, D., Romero-Albornoz, L., Gutiérrez-Vega, S., Aguayo, C., Marini, F., Guzmán-Gutiérrez, E., & Araya, J.
(2024). Simple and Fast Prediction of Gestational Diabetes Mellitus Based on Machine Learning and Near-Infrared Spectra of Serum: A Proof of Concept Study at Different Stages of Pregnancy. Biomedicines, 12(6), 1142.
https://doi.org/10.3390/biomedicines12061142