| Deploying unsupervised clustering analysis to derive clinical phenotypes and risk factors associated with mortality risk in 2022 critically ill patients with COVID-19 in Spain A Rodríguez, M Ruiz-Botella, I Martín-Loeches, M Jimenez Herrera, ... Critical Care 25, 1-15, 2021 | 71 | 2021 |
| Infección grave por coronavirus SARS-CoV-2: experiencia en un hospital de tercer nivel con pacientes afectados por COVID-19 durante la pandemia 2020 A Rodríguez, G Moreno, J Gómez, R Carbonell, E Pico-Plana, CB Bofill, ... Medicina Intensiva 44 (9), 525-533, 2020 | 53 | 2020 |
| Understanding critically ill sepsis patients with normal serum lactate levels: results from US and European ICU cohorts CM Sauer, J Gómez, MR Botella, DR Ziehr, WM Oldham, G Gavidia, ... Scientific reports 11 (1), 20076, 2021 | 27 | 2021 |
| Corticosteroid treatment and mortality in mechanically ventilated COVID-19-associated acute respiratory distress syndrome (ARDS) patients: a multicentre cohort study G Moreno, R Carbonell, I Martin-Loeches, J Solé-Violán, ... Annals of Intensive Care 11, 1-15, 2021 | 26 | 2021 |
| A differential therapeutic consideration for use of corticosteroids according to established COVID-19 clinical phenotypes in critically ill patients G Moreno, M Ruíz-Botella, I Martin-Loeches, JG Álvarez, MJ Herrera, ... Medicina Intensiva (English Edition) 47 (1), 23-33, 2023 | 11 | 2023 |
| Deploying unsupervised clustering analysis to derive clinical phenotypes and risk factors associated with mortality risk in 2022 critically ill patients with COVID-19 in Spain A Rodrıguez, M Ruiz-Botella, I Martın-Loeches Crit Care 25 (1), 63, 2021 | 6 | 2021 |
| Secondary use of data extracted from a clinical information system to assess the adherence of tidal volume and its impact on outcomes S Manrique, M Ruiz-Botella, A Rodríguez, F Gordo, JJ Guardiola, M Bodí, ... Medicina intensiva 46 (11), 619-629, 2022 | 3 | 2022 |
| Spanish Influenza Score (SIS): Usefulness of machine learning in the development of an early mortality prediction score in severe influenza GTGA Grave Medicina intensiva 45 (2), 69-79, 2021 | 3 | 2021 |
| Spanish Influenza Score (SIS): utilidad del Machine Learning en el desarrollo de una escala temprana de predicción de mortalidad en la gripe grave GTGA Grave Medicina Intensiva 45 (2), 69-79, 2021 | 1 | 2021 |
| Impact of mechanical power on mortality in ventilated critically ill patients. Retrospective study with continuous real-life data S Manrique, M Ruiz-Botella, N Murillo, S Canelles, ID Victoria, ... | | 2024 |
| Una consideración terapéutica diferencial para el uso de corticoesteroides en COVID-19 según los diferentes fenotipos clínicos establecidos en pacientes críticos G Moreno, M Ruiz-Botella, I Martin-Loeches, J Gómez Álvarez, ... Medicina Intensiva 47 (1), 23-33, 2023 | | 2023 |
| Uso secundario de los datos del Sistema de Información Clínica para evaluar la adherencia a las guías de práctica clínica respecto al volumen tidal y su impacto en los resultados S Manrique, M Ruiz-Botella, A Rodriguez, F Gordo, JJ Guardiola, M Bodí, ... Medicina Intensiva 46 (11), 619-629, 2022 | | 2022 |
| Desarrollo de una herramienta para la reconstrucción de metabolitos a partir del espectro de masas de los metabolitos. M Ruiz Botella | | 2019 |
| Advancing Icu Patient Care with a Real-Time Predictive Model for Mechanical Power to Mitigate Vili M Ruiz-Botella, S Manrique, J Gómez, M Bodí Available at SSRN 4760350, 0 | | |
