L. Nelson Sanchez-Pinto

According to our database, L. Nelson Sanchez-Pinto authored at least 15 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Transportability of bacterial infection prediction models for critically ill patients.

Garrett Eickelberg, Lazaro Nelson Sanchez-Pinto, Adrienne S. Kline, Yuan Luo

J. Am. Medical Informatics Assoc., December, 2023

Pediatric Sepsis Phenotyping Using Vital Sign Trajectories.

Yanyi Jenny Ding, Zhidi Luo, Mindy Szeto, Yuan Luo, L. Nelson Sanchez-Pinto

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022

International comparisons of laboratory values from the 4CE collaborative to predict COVID-19 mortality.

Griffin M. Weber, Chuan Hong, Zongqi Xia, Nicolas Paris, Miguel Pedrera-Jiménez, Ashley C. Pfaff, Emily R. Pfaff, Danielle Pillion, Sara Pizzimenti, Hans-Ulrich Prokosch, Robson A. Prudente, Andrea Prunotto, Víctor Quirós-González, Maryna Raskin, Siegbert Rieg, Gustavo Roig-Domínguez, Pablo Rojo, Paula Rubio-Mayo, Paolo Sacchi, Carlos Sáez, Elisa Salamanca, Malarkodi Jebathilagam Samayamuthu, L. Nelson Sanchez-Pinto, Arnaud Sandrin, Nandhini Santhanam, Janaina C. C. Santos, Fernando J. Sanz Vidorreta, Maria Savino, Jürgen Schüttler, Luigia Scudeller, Neil J. Sebire, Pablo Serrano-Balazote, Patricia Serre, Arnaud Serret-Larmande, Mohsin Shah, Zahra Shakeri Hossein Abad, Domenick Silvio, Piotr Sliz, Jiyeon Son, Charles Sonday, Andrew M. South, Francesca Sperotto, Zachary H. Strasser, Bryce W. Q. Tan, Suzana E. Tanni, Deanne M. Taylor, Ana I. Terriza-Torres, Patric Tippmann, Emma M. S. Toh, Yi-Ju Tseng, Andrew K. Vallejos, Gaël Varoquaux, Margaret E. Vella, Guillaume Verdy, Jill-Jênn Vie, Michele Vitacca, Kavishwar B. Wagholikar, Lemuel R. Waitman, Demian Wassermann, Martin Wolkewitz, Scott Wong, Xin Xiong, Ye Ye, Nadir Yehya, William Yuan, Alberto Zambelli, Harrison G. Zhang, Daniela Zöller, Valentina Zuccaro, Chiara Zucco

npj Digit. Medicine, 2022

2021

Clinical Decision Support in the Pediatric ICU: A Multi-Institution Survey.

Adam C. Dziorny, Julia A. Heneghan, Moodakare A. Bhat, Dean Karavite, L. Nelson Sanchez-Pinto, Jennifer McArthur, Naveen Muthu

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

2020

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

Pete Yeh, Yiheng Pan, L. Nelson Sanchez-Pinto, Yuan Luo

BMC Medical Informatics Decis. Mak., 2020

Predictive modeling of bacterial infections and antibiotic therapy needs in critically ill adults.

Garrett Eickelberg, L. Nelson Sanchez-Pinto, Yuan Luo

J. Biomed. Informatics, 2020

Three Data-Driven Phenotypes of Multiple Organ Dysfunction Syndrome Preserved from Early Childhood to Middle Adulthood.

Jiancheng Ye, L. Nelson Sanchez-Pinto

Proceedings of the AMIA 2020, 2020

Derivation and Validation of Vasoactive-Inotrope Score Trajectory Groups in Critically Ill Children.

Elitsa Nicolaou, L. Nelson Sanchez-Pinto

Proceedings of the AMIA 2020, 2020

2019

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

Lindsay P. Zimmerman, Paul Reyfman, Angela D. R. Smith, Zexian Zeng, Abel N. Kho, L. Nelson Sanchez-Pinto, Yuan Luo

BMC Medical Informatics Decis. Mak., 2019

Using Machine Learning to Predict Hyperchloremia in Critically Ill Patients.

Pete Yeh, Yiheng Pan, L. Nelson Sanchez-Pinto, Yuan Luo

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Phenotyping Multiple Organ Dysfunction Syndrome Using Temporal Trends in Critically Ill Children.

Emily Kunce Stroup, Yuan Luo, L. Nelson Sanchez-Pinto

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2018

Using photoplethysmography data to estimate heart rate variability and its association with organ dysfunction in pediatric oncology patients.

Anoop M. Mayampurath, Samuel L. Volchenboum, L. Nelson Sanchez-Pinto

npj Digit. Medicine, 2018

Comparison of variable selection methods for clinical predictive modeling.

L. Nelson Sanchez-Pinto, Laura Ruth Venable, John Fahrenbach, Matthew M. Churpek

Int. J. Medical Informatics, 2018

2017

The Emerging Role of the Chief Research Informatics Officer in Academic Health Centers.

Abu Saleh Mohammad Mosa, Kate Fultz Hollis, Umberto Tachinardi, William K. Barnett, L. Nelson Sanchez-Pinto, Peter J. Embí

Appl. Clin. Inform., 2017

2015

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

Proceedings of the AMIA 2015, 2015