Prediction Of Post-delivery Hemoglobin Levels With Machine Learning Algorithms

This article discusses the use of machine learning algorithms to predict postpartum hemorrhage (PPH) in pregnant women. The study found that basic pre-labor clinical data and laboratory measurements can accurately predict post-delivery hemoglobin levels, which can help with timely treatment and management of PPH. The most accurate model was an artificial neural network, which can be easily incorporated into healthcare systems.