Advancing Pediatric Growth Assessment with Machine Learning: Overcoming Challenges in Early Diagnosis and Monitoring

Today's article comes from the journal of Children. The authors are Rodriguez-Marin et al., from the Tecnologico de Monterrey University, in Mexico. In this paper they're building a logistic regression model that uses biometric and demographic data to automatically detect abnormal growth patterns in children.

DOI: 10.3390/children12030317