Improving preterm newborn identification in low-resource settings with machine learning
Katelyn Rittenhouse, Bellington Vwalika, Alexander P. Keil, Jennifer Winston, Marie C. D. Stoner, Joan T. Price, Monica Kapasa, Mulaya Mubambe, Vanilla Banda, Whyson Muunga, Jeffrey S. A. Stringer
The paper develops a machine learning model to improve preterm newborn identification in low-resource settings using readily available maternal and birth data.
PLoS ONE · Feb 27, 2019Peer-reviewedBioinformatics