A novel Vascular Leak Index identifies sepsis patients with a higher risk for in-hospital death and fluid accumulation von Chandra, Jay, Armengol de la Hoz, Miguel A, Lee, Gwendolyn, Lee, Alexandria, Thoral, Patrick, Elbers, Paul, Lee, Hyung-Chul, Munger, John S, Celi, Leo Anthony, Kaufman, David A

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A guide to sharing open healthcare data under the General Data Protection Regulation von de Kok, Jip W. T. M., de la Hoz, Miguel Á. Armengol, de Jong, Ymke, Brokke, Véronique, Elbers, Paul W. G., Thoral, Patrick, Castillejo, Alejandro, Trenor, Tomás, Castellano, Jose M., Bronchalo, Alberto E., Merz, Tobias M., Faltys, Martin, van der Horst, Iwan C. C., Xu, Minnan, Celi, Leo Anthony, van Bussel, Bas C. T., Borrat, Xavier

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Systematic Review and Comparison of Publicly Available ICU Data Sets—A Decision Guide for Clinicians and Data Scientists von Sauer, Christopher M., Dam, Tariq A., Celi, Leo A., Faltys, Martin, de la Hoz, Miguel A. A., Adhikari, Lasith, Ziesemer, Kirsten A., Girbes, Armand, Thoral, Patrick J., Elbers, Paul

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Temporal Trends in Critical Care Outcomes in U.S. Minority-Serving Hospitals von Danziger, John, Ángel Armengol de la Hoz, Miguel, Li, Wenyuan, Komorowski, Matthieu, Deliberato, Rodrigo Octávio, Rush, Barret N M, Mukamal, Kenneth J, Celi, Leo, Badawi, Omar

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Use of Do-Not-Resuscitate Orders for Critically Ill Patients with ESKD von Danziger, John, Ángel Armengol de la Hoz, Miguel, Celi, Leo Anthony, Cohen, Robert A, Mukamal, Kenneth J

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Sex-Specific Differences in Ventricular Remodeling and Response After Cardiac Resynchronization Therapy von Varrias, Dimitrios, De La Hoz, Miguel Armengol, Zhao, Megan, Pujol, Margarida, Orencole, Mary, Venkata, Vikramaditya Samala, Zordok, Magdi Atef, Luong, Katherine, Rana, Farhan, Lau, Emily, Ibrahim, Nasrein, Newton-Cheh, Christopher, Heist, Kevin, Singh, Jagmeet, Das, Saumya

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Developing well-calibrated illness severity scores for decision support in the critically ill von Cosgriff, Christopher V., Celi, Leo Anthony, Ko, Stephanie, Sundaresan, Tejas, Armengol de la Hoz, Miguel Ángel, Kaufman, Aaron Russell, Stone, David J., Badawi, Omar, Deliberato, Rodrigo Octavio

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Assessing COVID-19 Vaccine Effectiveness and Risk Factors for Severe Outcomes through Machine Learning Techniques: A Real-World Data Study in Andalusia, Spain von Serrano-Ortiz, Álvaro, Romero-Cabrera, Juan Luis, Monserrat Villatoro, Jaime, Cordero-Ramos, Jaime, Ruiz-Montero, Rafael, Ritoré, Álvaro, Dopazo, Joaquín, del Diego Salas, Jorge, García Sánchez, Valle, Salcedo-Leal, Inmaculada, Armengol de la Hoz, Miguel Ángel, Túnez, Isaac, Guzmán, Miguel Ángel

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Assessing the impact of vaccines on COVID-19 efficacy in survival rates: a survival analysis approach for clinical decision support von González Rodríguez, Juan Luis, Oprescu, Andreea M, Muñoz Lezcano, Sergio, Cordero Ramos, Jaime, Romero Cabrera, Juan Luis, Armengol de la Hoz, Miguel Ángel, Estella, Ángel

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A Large-Scale Multicenter Retrospective Study on Nephrotoxicity Associated With Empiric Broad-Spectrum Antibiotics in Critically Ill Patients von Chen, Alyssa Y., Deng, Chih-Ying, Calvachi-Prieto, Paola, Armengol de la Hoz, Miguel Ángel, Khazi-Syed, Afeefah, Chen, Christina, Scurlock, Corey, Becker, Christian D., Johnson, Alistair E.W., Celi, Leo Anthony, Dagan, Alon

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Can a low-cost exercise monitor provide useful heart rate monitoring for use in low-resource emergency departments? von O’Mara, Thomas A., Hoz, Miguel Armengol de la, Mechanic, Oren J., Dagan, Alon

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Incidence and Risk Model Development for Severe Tachypnea Following Terminal Extubation von Fehnel, Corey R., Armengol de la Hoz, Miguel, Celi, Leo A., Campbell, Margaret L., Hanafy, Khalid, Nozari, Ala, White, Douglas B., Mitchell, Susan L.

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Hábitos y estado nutricional relacionados con las diferentes carreras universitarias von Kuzmar, Isaac, Consuegra, José Rafael, Cortés-Castell, Ernesto, Rizo-Baeza, Mercedes, Almanza, Carlos, Antonio, Keisy, Hoz, Miguel De la, González, Mauro, Guerrero, Dina, Morales, Karen, Moreno, Stephany, Peñate, Keren, Pianeta, Katheryn, Rada, Luz, Ramírez, Olga, Redondo, Diana, Solano, Stephany, Suárez, Laura, Vargas, Juan, Bermúdez-Pirela, Valmore, Villa, Angely

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Developing and Validating Multi-Modal Models for Mortality Prediction in COVID-19 Patients: a Multi-center Retrospective Study von Wu, Joy Tzung-yu, de la Hoz, Miguel Ángel Armengol, Kuo, Po-Chih, Paguio, Joseph Alexander, Yao, Jasper Seth, Dee, Edward Christopher, Yeung, Wesley, Jurado, Jerry, Moulick, Achintya, Milazzo, Carmelo, Peinado, Paloma, Villares, Paula, Cubillo, Antonio, Varona, José Felipe, Lee, Hyung-Chul, Estirado, Alberto, Castellano, José Maria, Celi, Leo Anthony

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Predictors of mechanical ventilation and mortality in critically ill patients with COVID-19 pneumonia von Muñoz Lezcano, Sergio, Armengol de la Hoz, Miguel Ángel, Corbi, Alberto, López, Fernando, García, Miguel Sánchez, Reiz, Antonio Nuñez, González, Tomás Fariña, Zlatkov, Viktor Yordanov

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Assessing team effectiveness and affective learning in a datathon von Piza, Felipe Maia de Toledo, Celi, Leo Anthony, Deliberato, Rodrigo Octavio, Bulgarelli, Lucas, de Carvalho, Fabricio Rodrigues Torres, Filho, Roberto Rabello, de La Hoz, Miguel Angel Armengol, Kesselheim, Jennifer Cohn

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Big data and machine learning in critical care: Opportunities for collaborative research von Núñez Reiz, Antonio, MD, Martínez Sagasti, Fernando, MD PhD, Álvarez González, Manuel, MD PhD, Blesa Malpica, Antonio, MD PhD, Martín Benítez, Juan Carlos, MD PhD, Nieto Cabrera, Mercedes, MD PhD, del Pino Ramírez, Ángela, MD, Gil Perdomo, José Miguel, MD, Prada Alonso, Jesús, Celi, Leo Anthony, MD MS MPH, Armengol de la Hoz, Miguel Ángel, MBE, Deliberato, Rodrigo, MD PhD, Paik, Kenneth, MD MS MBA, Pollard, Tom, PhD, Raffa, Jesse, PhD, Torres, Felipe, Mayol, Julio, MD PhD, Chafer, Joan, MD, González Ferrer, Arturo, PhD, Rey, Ángel, González Luengo, Henar, Fico, Giuseppe, PhD, Lombroni, Ivana, MsC, Hernandez, Liss, MsC, López, Laura, MsC, Merino, Beatriz, MsC, Cabrera, María Fernanda, PhD, Arredondo, María Teresa, PhD, Bodí, María, MD PhD, Gómez, Josep, PhD, Rodríguez, Alejandro, MD PhD, Sánchez García, Miguel, MD PhD

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Hypotension and Cardiac Surgical Outcomes: Reply von Rangasamy, Valluvan, de la Hoz, Miguel Armengol, Subramaniam, Balachundhar

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Operationalising fairness in medical algorithms von Parbhoo, Sonali, Wawira Gichoya, Judy, Celi, Leo Anthony, de la Hoz, Miguel Ángel Armengol

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Machine Learning Models with Preoperative Risk Factors and Intraoperative Hypotension Parameters Predict Mortality After Cardiac Surgery von Fernandes, Marta Priscila Bento, Armengol de la Hoz, Miguel, Rangasamy, Valluvan, Subramaniam, Balachundhar

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