J
Javier Trujillano
Researcher at Hospital Universitari Arnau de Vilanova
Publications - 45
Citations - 533
Javier Trujillano is an academic researcher from Hospital Universitari Arnau de Vilanova. The author has contributed to research in topics: Intensive care unit & Intensive care. The author has an hindex of 11, co-authored 39 publications receiving 440 citations. Previous affiliations of Javier Trujillano include University of Lleida.
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Journal ArticleDOI
A Prediction Rule for Estimating the Risk of Bacteremia in Patients with Community-Acquired Pneumonia
Miquel Falguera,Javier Trujillano,Sílvia Caro,Rosario Menéndez,Jordi Carratalà,Agustín Ruiz-González,Manuel Vilà,Mercè García,José M. Porcel,Antoni Torres +9 more
TL;DR: A simple score based entirely on epidemiological and clinical variables that would stratify patients who require hospital admission because of community-acquired pneumonia into groups with a low or high risk of developing bacteremia is constructed.
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Stratification of the severity of critically ill patients with classification trees
Javier Trujillano,Javier Trujillano,Mariona Badia,Luis Serviá,Jaume March,Angel Rodriguez-Pozo +5 more
TL;DR: With different methodologies of CTs, trees are generated with different selection of variables and decision rules, and the CTs are easy to interpret, and they stratify the risk of hospital mortality.
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Pleural fluid interleukin-8 and C-reactive protein for discriminating complicated non-purulent from uncomplicated parapneumonic effusions.
José M. Porcel,Carlos Galindo,Aureli Esquerda,Javier Trujillano,Agustín Ruiz-González,Miquel Falguera,Manuel Vives +6 more
TL;DR: This study tested the hypothesis that measurement of IL‐8 and CRP in pleural fluid could improve the identification of patients with non‐purulent parapneumonic effusions that ultimately require chest tube drainage.
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Aproximación metodológica al uso de redes neuronales artificiales para la predicción de resultados en medicina
TL;DR: This review introduces the ANN methodology, describing the most common type of ANN, the Multilayer Perceptron trained with backpropagation algorithm (MLP), and compares the MLP with the Logistic Regression (LR).
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Aproximación a la metodología basada en árboles de decisión (CART). Mortalidad hospitalaria del infarto agudo de miocardio
Javier Trujillano,Antonio Sarría-Santamera,Aureli Esquerda,Mariona Badia,Matilde Palma,Jaume March +5 more
TL;DR: A CART model intended to estimate the probability of intrahospital death from acute myocardial infarction (AMI) was developed and found that the C ART model was much easier to use and interpret, because the decision rules generated could be applied without the need for mathematical calculations.