L. Nelson Sanchez-Pinto

Early prediction of acute kidney injury following ICU admission using a multivariate panel of physiological measurements

Yuan Luo, Abel N. Kho, Zexian Zeng, 2019, BMC Medical Informatics and Decision Making.

Hyperchloremia in critically ill patients: association with outcomes and prediction using electronic health record data

Yuan Luo, L. Nelson Sanchez-Pinto, Pete Yeh, 2020, BMC Medical Informatics and Decision Making.

Comparison of variable selection methods for clinical predictive modeling

L. Nelson Sanchez-Pinto, Laura Ruth Venable, John Fahrenbach, 2018, Int. J. Medical Informatics.

Predicting Acute Kidney Injury in Critically Ill Children Using Electronic Health Record Data - A Comparison of Four Statistical Learning Models

L. Nelson Sanchez-Pinto, Robinder G. Khemani, 2015, AMIA.

Using Machine Learning to Predict Hyperchloremia in Critically Ill Patients

Yuan Luo, L. Nelson Sanchez-Pinto, Pete Yeh, 2019, 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Adaptation and Validation of a Pediatric Sequential Organ Failure Assessment Score and Evaluation of the Sepsis-3 Definitions in Critically Ill Children

L. Nelson Sanchez-Pinto, L. Sanchez-Pinto, Travis J. Matics, 2017, JAMA pediatrics.

Big Data and Data Science in Critical Care.

Yuan Luo, L. Nelson Sanchez-Pinto, Matthew M. Churpek, 2018, Chest.