arXiv Machine Learning July 28, 2026 By Deepak Bastola, Yang Li

Deep learning approaches show promise for predicting childhood malnutrition: A comparative study with traditional machine learning methods using survey data

Read the original on arXiv Machine Learning →

arXiv:2602. 10381v2 Announce Type: replace Abstract: Childhood malnutrition remains a major public health concern in Nepal and other low-resource settings, while conventional case-finding approaches are labor-intensive and frequently unavailable in remote areas.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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