N. Saber

Prediction of Acute Kidney Injury With a Machine Learning Algorithm Using Electronic Health Record Data

Uli K. Chettipally, Hamid Mohamadlou, L. Shieh, 2017, bioRxiv.

Effect of a sepsis prediction algorithm on patient mortality, length of stay and readmission: a prospective multicentre clinical outcomes evaluation of real-world patient data from US hospitals

Ritankar Das, Joseph Slote, Eduardo Pino, 2018, BMJ Health & Care Informatics.

Machine-Learning-Based Laboratory Developed Test for the Diagnosis of Sepsis in High-Risk Patients

J. Calvert, R. Das, J. Hoffman, 2019, Diagnostics.

Validation of a machine learning algorithm for early severe sepsis prediction: a retrospective study predicting severe sepsis up to 48 h in advance using a diverse dataset from 461 US hospitals

Ritankar Das, Jonathan Roberts, Hoyt Burdick, 2020, BMC Medical Informatics and Decision Making.