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Vital signs, demographics, and clinical events for low-birth-weight infants from four intensive care units

German Mesner, I.; Lake, D. E.; Kausch, S. L.; Krahn, K. N.; Gummadi, A.; Clark, T. W.; Niestroy, J. C.; Sahni, R.; Vesoulis, Z. A.; Gootenberg, D. B.; Ambalavanan, N.; Travers, C. P.; Fairchild, K. D.; Sullivan, B. A.

2026-04-20 pediatrics
10.64898/2026.04.15.26350178 medRxiv
Show abstract

Premature very low birth weight (VLBW) infants have high rates of mortality and morbidity from sepsis, necrotizing enterocolitis, and respiratory failure requiring intubation and mechanical ventilation. Earlier detection of cardiorespiratory deterioration using vital signs from continuous physiological monitoring may lead to more timely interventions and improved outcomes. To further this research area, we present PreMo, a publicly available dataset of continuous heart rate and oxygen saturation, demographics, clinical events, and outcomes for 3,829 VLBW patients from four Neonatal Intensive Care Units (NICUs) in the United States. The PreMo dataset consists of a collection of parquet files, RO-Crate metadata, and sample usage code scripts hosted on the University of Virginia LibraData Dataverse website.

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"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.