A. Lynn-Palevsky

Multicenter validation of a machine-learning algorithm for 48-h all-cause mortality prediction

Uli K. Chettipally, Grant S. Fletcher, P. Stark, 2019, Health Informatics J..

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

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

Evaluating a sepsis prediction machine learning algorithm using minimal electronic health record data in the emergency department and intensive care unit

A. Lynn-Palevsky, R. Das, H. Burdick, 2017, bioRxiv.

Evaluating a sepsis prediction machine learning algorithm in the emergency department and intensive care unit: a before and after comparative study

A. Lynn-Palevsky, R. Das, H. Huang, 2017 .

Personalized stratification of back to work risk amidst COVID-19: A machine learning approach (Preprint)

Carson K. Lam, J. Calvert, A. Lynn-Palevsky, 2020 .

Evaluation of a machine learning algorithm for up to 48-hour advance prediction of sepsis using six vital signs

Yifan Zhou, Christopher W. Barton, Uli K. Chettipally, 2019, Comput. Biol. Medicine.

Multicenter validation of a machine learning algorithm for 48 hour all-cause mortality prediction

Philip B. Stark, Christopher Barton, Hamid Mohamadlou, 2018, bioRxiv.