Learning from the Data: Exploring a Hepatocellular Carcinoma Registry Using Visual Analytics to Improve Multidisciplinary Clinical Decision-Making. - Michelle R. Hribar; Deborah Woodcock; Lazaro N. Sanchez-Pinto; Kate Fultz Hollis; Gene Ren (AMIA, 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 (AMIA, 2015)

Clinical Research Informatics Working Group Pre-symposium: The Emerging Role of the Chief Research Informatics Officer in Academic Medical Centers. - Lazaro N. Sanchez-Pinto; Kate Fultz Hollis; Abu Saleh Mohammad Mosa; Judith Logan; Tony Solomonides (AMIA, 2016)

A Data-driven Framework for Sub-Typing Stem Cell Transplant Recipients at Risk for Infection. - Anoop M. Mayampurath; Jonathan Matthews; Samuel L. Volchenboum; Lazaro N. Sanchez-Pinto (AMIA, 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)

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)

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)

Phenotyping Multiple Organ Dysfunction Syndrome Using Temporal Trends in Critically Ill Children. - Emily Kunce Stroup; Yuan Luo 001; L. Nelson Sanchez-Pinto (BIBM, 2019)

Using Machine Learning to Predict Hyperchloremia in Critically Ill Patients. - Pete Yeh; Yiheng Pan; L. Nelson Sanchez-Pinto; Yuan Luo 001 (BIBM, 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 001 (BMC Medical Informatics Decis. Mak., 2019)

Derivation and Validation of Vasoactive-Inotrope Score Trajectory Groups in Critically Ill Children. - Elitsa Nicolaou; L. Nelson Sanchez-Pinto (AMIA, 2020)

Three Data-Driven Phenotypes of Multiple Organ Dysfunction Syndrome Preserved from Early Childhood to Middle Adulthood. - Jiancheng Ye; L. Nelson Sanchez-Pinto (AMIA, 2020)

Predictive modeling of bacterial infections and antibiotic therapy needs in critically ill adults. - Garrett Eickelberg; L. Nelson Sanchez-Pinto; Yuan Luo 001 (J. Biomed. Informatics, 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 001 (BMC Medical Informatics Decis. Mak., 2020)

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 (AMIA, 2021)

Prediction of recovery from multiple organ dysfunction syndrome in pediatric sepsis patients. - Bowen Fan; Juliane Klatt; Michael Moor; Latasha A. Daniels; Philipp K. A Agyeman; Christoph Berger; Eric Giannoni; Martin Stocker; Klara M. Posfay-Barbe; Ulrich Heininger; Sara Bernhard-Stirnemann; Anita Niederer-Loher; et al. (Bioinform., 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; et al. (npj Digit. Medicine, 2022)

Pediatric Sepsis Phenotyping Using Vital Sign Trajectories. - Yanyi Jenny Ding; Zhidi Luo; Mindy Szeto; Yuan Luo 001; L. Nelson Sanchez-Pinto (BIBM, 2023)

Transportability of bacterial infection prediction models for critically ill patients. - Garrett Eickelberg; Lazaro Nelson Sanchez-Pinto; Adrienne S. Kline; Yuan Luo 001 (J. Am. Medical Informatics Assoc., 2023)