A Machine Learning Approach to Investigate Epidemiologic Risk Factors of Gastroschisis and Omphalocele in Iowa, 1997-2011

A Systematic Review of Machine Learning Prediction and Cardiovascular Risk Assessment

Estimating short- and long-term impact of COVID-19 on air quality, human health, and economic losses in China through machine learning counterfactual simulations

Deep Learning for EHR-Based Diagnosis Prediction: A General Recipe

Modeling and Predicting Storm Surges Using Machine Learning Methods

Interpretable Brain Network Analysis with Graph Neural Networks

Acceleration Algorithms for Machine Learning Models

Generative Adversarial Networks as a Method to Produce Elliptic Curves by Rank

Predicting Rare Clinical Events in Complex and Dynamic Environments