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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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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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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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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Assessing COVID-19 Vaccine Effectiveness and Risk Factors for Severe Outcomes through Machine Learning Techniques: A Real-World Data Study in Andalusia, Spain

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

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High resolution data modifies intensive care unit dialysis outcome predictions as compared with low resolution administrative data set von Ziegler, Jennifer, Rush, Barret N M, Gottlieb, Eric R, Celi, Leo Anthony, Armengol de la Hoz, Miguel Ángel

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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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First Brazilian datathon in critical care von Serpa Neto, Ary, Kugener, Guillaume, Bulgarelli, Lucas, Rabello Filho, Roberto, Hoz, Miguel Ángel Armengol de la, Johnson, Alistair EW, Paik, Kenneth E, Torres, Felipe, Xie, Chen, Amaro Júnior, Edson, Ferraz, Leonardo José Rolim, Celi, Leo Anthony, Deliberato, Rodrigo Octavio

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Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI von Vasey, Baptiste, Nagendran, Myura, Campbell, Bruce, Clifton, David A., Collins, Gary S., Denaxas, Spiros, Denniston, Alastair K., Faes, Livia, Geerts, Bart, Ibrahim, Mudathir, Liu, Xiaoxuan, Mateen, Bilal A., Mathur, Piyush, McCradden, Melissa D., Morgan, Lauren, Ordish, Johan, Rogers, Campbell, Saria, Suchi, Ting, Daniel S. W., Watkinson, Peter, Weber, Wim, Wheatstone, Peter, McCulloch, Peter

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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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LARGE-SCALE, MULTICENTER, RETROSPECTIVE STUDY ON NEPHROTOXICITY ASSOCIATED WITH EMPIRIC, BROAD-SPECTRUM ANTIBIOTICS IN CRITICALLY ILL PATIENTS von CHEN, ALYSSA, DENG, CHIH-YING CD, CALVACHI, PAOLA, HOZ, MIGUEL ÁNGEL MA ARMENGOL DE LA, KHAZI-SYED, AFEEFAH F, CHEN, CHRISTINA W, SCURLOCK, COREY S, BECKER, CHRISTIAN D, JOHNSON, ALISTAIR, CELI, LEO ANTHONY, DAGAN, ALON

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The role of Open Access Data in democratizing healthcare AI: A pathway to research enhancement, patient well-being and treatment equity in Andalusia, Spain von Ritoré, Álvaro, Jiménez, Claudia M, González, Juan Luis, Rejón-Parrilla, Juan Carlos, Hervás, Pablo, Toro, Esteban, Parra-Calderón, Carlos Luis, Celi, Leo Anthony, Túnez, Isaac, Armengol de la Hoz, Miguel Ángel

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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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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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The open data revolution: Enhancing healthcare in intensive care units von Muñoz-Lezcano, Sergio, de la Fuente, Carmen, Estella, Ángel, Amaya-Villar, Rosario, Puppo-Moreno, Antonio M., Armengol-de la Hoz, Miguel Ángel, Garnacho-Montero, José

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Publisher Correction: Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI von Vasey, Baptiste, Nagendran, Myura, Campbell, Bruce, Clifton, David A., Collins, Gary S., Denaxas, Spiros, Denniston, Alastair K., Faes, Livia, Geerts, Bart, Ibrahim, Mudathir, Liu, Xiaoxuan, Mateen, Bilal A., Mathur, Piyush, McCradden, Melissa D., Morgan, Lauren, Ordish, Johan, Rogers, Campbell, Saria, Suchi, Ting, Daniel S. W., Watkinson, Peter, Weber, Wim, Wheatstone, Peter, McCulloch, Peter

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High resolution data modifies intensive care unit dialysis outcome predictions as compared with low resolution administrative data set von Jennifer Ziegler, Barret N. M. Rush, Eric R. Gottlieb, Leo Anthony Celi, Miguel Ángel Armengol de la Hoz

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