Machine Learning in the Maternity Ward

Based on a historical analysis of the existing program data and the inclusion of more than 100 additional data points about each pregnancy already available to the organization but ignored by the existing risk model, Amitech built, trained and tested a model able to effectively tease out the most accurate prediction possible while also identifying the factors with the most influence on the probability of a low-birthweight delivery.