Search Results - "Valiente Fernández, Marcos"

Measuring Quality of Life. What Are We Missing? by Fernández, Marcos Valiente, Serrano-Gómez, Cristina

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Models That Link Physiology with Outcomes by Valiente Fernández, Marcos

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Letter to the Editor: Assessment of Machine Learning Methods to Predict Massive Blood Transfusion in Trauma by Valiente Fernández, Marcos

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Could machine learning algorithms help us predict massive bleeding at prehospital level? by Valiente Fernández, Marcos, García Fuentes, Carlos, Delgado Moya, Francisco de Paula, Marcos Morales, Adrián, Fernández Hervás, Hugo, Barea Mendoza, Jesús Abelardo, Mudarra Reche, Carolina, Bermejo Aznárez, Susana, Muñoz Calahorro, Reyes, López García, Laura, Monforte Escobar, Fernando, Chico Fernández, Mario

“…Comparison of the predictive ability of various machine learning algorithms (MLA) versus traditional prediction scales (TPS) for massive hemorrhage (MH) in…”
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A Critical Review of Predictive Modeling with "Latent Shock" Variable by Valiente Fernández, Marcos, Serrano-Gómez, Cristina

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Podrían ayudarnos los algoritmos de machine learning en la predicción de hemorragia masiva a nivel prehospitalario? by Valiente Fernández, Marcos, García Fuentes, Carlos, Delgado Moya, Francisco de Paula, Marcos Morales, Adrián, Fernández Hervás, Hugo, Barea Mendoza, Jesús Abelardo, Mudarra Reche, Carolina, Bermejo Aznárez, Susana, Muñoz Calahorro, Reyes, López García, Laura, Monforte Escobar, Fernando, Chico Fernández, Mario

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SHAP model explainability in ECMO–PAL mortality prediction: a critical analysis by Valiente Fernández, Marcos, Lesmes González de Aledo, Amanda, Delgado Moya, Francisco de Paula, Martín Badía, Isaías

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Futility thresholds, too simple by Valiente Fernández, Marcos, de Paula Delgado Moya, Francisco

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Comparing Traditional Regression and Machine Learning Models in Predicting Acute Respiratory Distress Syndrome Mortality by Valiente Fernández, Marcos, Lesmes González de Aledo, Amanda, Martín Badía, Isaías, Delgado Moya, Francisco de Paula

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Medicine is often imbalanced by Valiente Fernández, Marcos

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CONSIDERATIONS ABOUT SCORES IN CARDIOGENIC SHOCK by Valiente Fernández, Marcos, Lesmes González de Aledo, Amanda, Martín Badía, Isaías, de Paula Delgado Moya, Francisco

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Can we use national registries to predict discharge reports?: An example with the ENVIN and RETRAUCI registries by Valiente Fernández, Marcos, Lesmes González de Aledo, Amanda, Martín Badía, Isaías, Delgado Moya, Francisco de Paula

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Artificial intelligence in scientific publishing: Embracing change and addressing ethical considerations by Valiente Fernández, Marcos, Martín Badía, Isaías, Lesmes González de Aledo, Amanda, Delgado Moya, Francisco de Paula

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Machine-learning models for prediction of sepsis patients mortality: A needed consideration by Valiente Fernández, Marcos, Delgado Moya, Francisco de Paula, Lesmes González de Aledo, Amanda, Martín Badía, Isaías

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Models That Link Physiology with Outcomes / Reply by Fernández, Marcos Valiente, Dianti, Jose, Morris, Idunn S, Goligher, Ewan C

“…Dianti et al respond to comments from Valiente Fernandez on their study on models that link physiology with outcomes. They note that machine-learning…”
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Shock Index and Physiological Stress Index for reestratifying patients with intermediate-high risk pulmonary embolism by Valiente Fernández, Marcos, Lesmes González de Aledo, Amanda, Delgado Moya, Francisco de Paula, Martín Badía, Isaías, Álvaro Valiente, Elena, Blanco Otaegui, Nerea, Risco Torres, Pablo, Saéz de la Fuente, Ignacio, Chacón Alves, Silvia, Orejón García, Lidia, Sánchez- Bayton Griffith, María, Sánchez-Izquierdo Riera, José Ángel

“…Study and Evaluation of Two Scores: Shock Index (SI) and Physiological Stress Index (PSI) as discriminators for proactive treatment (reperfusion before…”
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Penetrating or non-penetrating? Horn injury by Carasa, Yelco Chicote, Lorente, Enrique Solano, Fernández, Marcos Valiente

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Artificial intelligence in scientific publishing: Embracing change and addressing ethical considerations by Valiente Fernández, Marcos, Martín Badía, Isaías, Lesmes González de Aledo, Amanda, Delgado Moya, Francisco de Paula

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Machine-learning models for prediction of sepsis patients mortality: A needed consideration by Valiente Fernández, Marcos, Delgado Moya, Francisco de Paula, Lesmes González de Aledo, Amanda, Martín Badía, Isaías

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Assessment of early traumatic mortality using post-mortem computed tomography by Orejón García, Lidia, Ibáñez Sanz, Laín, Valiente Fernández, Marcos, Delgado Moya, Francisco de Paula, Martinez Chamorro, Elena, Chico Fernández, Mario

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