Jacob S. Calvert

This study develops a machine learning model to predict acute kidney injury using electronic health records, achieving higher accuracy than traditional clinical scores.

This paper validates a sepsis prediction algorithm using vital sign data across multiple settings, showing strong performance and generalizability.

This study develops a machine learning algorithm using EHR data to predict pediatric severe sepsis onset, achieving high AUROC scores and outperforming existing clinical scores.