Application of Machine Learning Algorithms For Predicting Surgical Outcomes in Neonates

This study investigates the application of machine learning algorithms to predict surgical outcomes in neonates. By analysing clinical and demographic data from neonatal surgical cases, we developed predictive models using various machine learning techniques. The goal is to assist surgeons in making more informed decisions and improving patient care. The results demonstrate that machine learning models can significantly enhance the accuracy of predicting surgical outcomes, offering valuable insights into optimizing neonatal surgical practices. Despite some limitations, this research highlights the potential of machine learning in advancing neonatal surgery.