Can machine learning methods be used for identification of at-risk neonates in low-resource settings? A prospective cohort study.

Classic screening, combined with ML, can help maximise identifying ARNs and could be embedded in low-resource clinical settings, thereby improving outcome. Sequential use of classic assessment and clinical ML identifies the most ARNs in the community, still optimising follow-up clinical care.