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ORCIDL. Nelson Sanchez-Pinto
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Journal Articles
- 2023
[j8]Garrett Eickelberg
, Lazaro Nelson Sanchez-Pinto, Adrienne S. Kline, Yuan Luo:
Transportability of bacterial infection prediction models for critically ill patients. J. Am. Medical Informatics Assoc. 31(1): 98-108 (2023)- 2022
- [j7]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:
International comparisons of laboratory values from the 4CE collaborative to predict COVID-19 mortality. npj Digit. Medicine 5 (2022) - 2020
- [j6]Garrett Eickelberg, L. Nelson Sanchez-Pinto, Yuan Luo:
Predictive modeling of bacterial infections and antibiotic therapy needs in critically ill adults. J. Biomed. Informatics 109: 103540 (2020) - [j5]Pete Yeh, Yiheng Pan, L. Nelson Sanchez-Pinto, Yuan Luo:
Hyperchloremia in critically ill patients: association with outcomes and prediction using electronic health record data. BMC Medical Informatics Decis. Mak. 20-S(14): 302 (2020) - 2019
- [j4]Lindsay P. Zimmerman, Paul Reyfman, Angela D. R. Smith, Zexian Zeng, Abel N. Kho, L. Nelson Sanchez-Pinto, Yuan Luo:
Early prediction of acute kidney injury following ICU admission using a multivariate panel of physiological measurements. BMC Medical Informatics Decis. Mak. 19-S(1): 16:1-16:12 (2019) - 2018
- [j3]L. Nelson Sanchez-Pinto, Laura Ruth Venable, John Fahrenbach, Matthew M. Churpek:
Comparison of variable selection methods for clinical predictive modeling. Int. J. Medical Informatics 116: 10-17 (2018) - [j2]Anoop M. Mayampurath, Samuel L. Volchenboum, L. Nelson Sanchez-Pinto:
Using photoplethysmography data to estimate heart rate variability and its association with organ dysfunction in pediatric oncology patients. npj Digit. Medicine 1 (2018) - 2017
- [j1]Abu Saleh Mohammad Mosa, Kate Fultz Hollis, Umberto Tachinardi, William K. Barnett, L. Nelson Sanchez-Pinto, Peter J. Embí:
The Emerging Role of the Chief Research Informatics Officer in Academic Health Centers. Appl. Clin. Inform. 08(03): 845-853 (2017)
Conference and Workshop Papers
- 2023
- [c7]Yanyi Jenny Ding, Zhidi Luo, Mindy Szeto, Yuan Luo, L. Nelson Sanchez-Pinto:
Pediatric Sepsis Phenotyping Using Vital Sign Trajectories. BIBM 2023: 4297-4303 - 2021
- [c6]Adam C. Dziorny, Julia A. Heneghan, Moodakare A. Bhat, Dean Karavite, L. Nelson Sanchez-Pinto, Jennifer McArthur, Naveen Muthu:
Clinical Decision Support in the Pediatric ICU: A Multi-Institution Survey. AMIA 2021 - 2020
- [c5]Elitsa Nicolaou, L. Nelson Sanchez-Pinto:
Derivation and Validation of Vasoactive-Inotrope Score Trajectory Groups in Critically Ill Children. AMIA 2020 - [c4]Jiancheng Ye, L. Nelson Sanchez-Pinto:
Three Data-Driven Phenotypes of Multiple Organ Dysfunction Syndrome Preserved from Early Childhood to Middle Adulthood. AMIA 2020 - 2019
- [c3]Emily Kunce Stroup, Yuan Luo, L. Nelson Sanchez-Pinto:
Phenotyping Multiple Organ Dysfunction Syndrome Using Temporal Trends in Critically Ill Children. BIBM 2019: 968-972 - [c2]Pete Yeh, Yiheng Pan, L. Nelson Sanchez-Pinto, Yuan Luo:
Using Machine Learning to Predict Hyperchloremia in Critically Ill Patients. BIBM 2019: 1703-1707 - 2015
- [c1]L. Nelson Sanchez-Pinto, Robinder G. Khemani:
Predicting Acute Kidney Injury in Critically Ill Children Using Electronic Health Record Data - A Comparison of Four Statistical Learning Models. AMIA 2015
Coauthor Index
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