Machine learning-based classification of children affected by malnutrition using multimodal sMRI and DTI brain images-Reference-Cited by-同舟云学术

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Machine learning-based classification of children affected by malnutrition using multimodal sMRI and DTI brain images

Published:2023-11-15 Issue: Volume:7 Page:1-4
ISSN:
Container-title:2023 19th International Symposium on Medical Information Processing and Analysis (SIPAIM)
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Author:

Garnica Daniel Colin¹,Cota-Aguiar Ramon¹,Vaca-Palomares Israel²,Fernandez-Ruiz Juan²,Hevia-Montiel Nidiyare³,Perez-Gonzalez Jorge³

Affiliation:

1. Universidad Nacional Autónoma de México,Master Program in Computer Science,Mérida,México

2. Universidad Nacional Autónoma de México,Facultad de Psicología,Mexico City,México

3. Universidad Nacional Autónoma de México,Unidad Académica del IIMAS en el Estado de Yucatán,Mérida,México

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10373395/10373414/10373493.pdf?arnumber=10373493

Reference14 articles.

1. Malnutrition

2. Clasificación y evaluación de la desnutrición en el paciente pediátrico;Márquez-González;In: El Residente,2012

3. Neurodevelopmental effects of childhood malnutrition: A neuroimaging perspective

4. Tendencias de la mala nutrición en menores de cinco años en México, 1988-2016: análisis de cinco encuestas nacionales

5. Long-term effects of severe undernutrition during the first year of life on brain development and learning in Chilean high-school graduates

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