V. Ribas

发表

Innovative continuous non-invasive cuffless blood pressure monitoring based on photoplethysmography technology

J. Ruiz-Rodríguez, A. Ruiz-Sanmartin, V. Ribas, 2013, Intensive Care Medicine.

Intelligent Management of Sepsis in the Intensive Care Unit

J. Ruiz-Rodríguez, V. Ribas, A. Vellido, 2012 .

Big Data for Critical Care

V. Ribas, 2019 .

Characterization of a proteomic profile associated with organ dysfunction and mortality of sepsis and septic shock

J. Ruiz-Rodríguez, A. Ruiz-Sanmartin, V. Ribas, 2022, PloS one.

Severe sepsis mortality prediction with relevance vector machines

Alfredo Vellido, Vicent J. Ribas, Juan Carlos Ruiz-Rodríguez, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Machine learning in critical care: state-of-the-art and a sepsis case study

Alfredo Vellido, Vicent Ribas, Carles Morales, 2018, BioMedical Engineering OnLine.

Sepsis mortality prediction with the Quotient Basis Kernel

Alfredo Vellido, Enrique Romero, Vicent J. Ribas, 2014, Artif. Intell. Medicine.

Proteolysis in septic shock patients: plasma peptidomic patterns are associated with mortality

M. A. Odena, G. Schmid-Schönbein, V. Ribas, 2018, British journal of anaesthesia.

Title Proteolysis in septic shock patients : plasma peptidomic patterns are associated with mortality Permalink

M. A. Odena, V. Ribas, R. Ferrer, 2018 .

Precision medicine in sepsis and septic shock: From omics to clinical tools

J. Ruiz-Rodríguez, A. Ruiz-Sanmartin, V. Ribas, 2022, World journal of critical care medicine.

Machine Learning for Critical Care: An Overview and a Sepsis Case Study

Alfredo Vellido, Vicent J. Ribas, Juan Carlos Ruiz-Rodríguez, 2017, IWBBIO.

Artificial Intelligence in Critical Care

V. Ribas, A. Vellido, 2021, Artificial Intelligence in Medicine.

Applying Conditional Independence Maps to Improve Sepsis Prognosis

Alfredo Vellido, Vicent J. Ribas, Carles Morales, 2016, 2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW).

ShockOmics: multiscale approach to the identification of molecular biomarkers in acute heart failure induced by shock

G. Schmid-Schönbein, V. Ribas, G. Baselli, 2016, Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine.

Severe sepsis mortality prediction with logistic regression over latent factors

Alfredo Vellido, Vicent J. Ribas, Juan Carlos Ruiz-Rodríguez, 2012, Expert Syst. Appl..

On the Use of Graphical Models to Study ICU Outcome Prediction in Septic Patients Treated with Statins

Alfredo Vellido, Vicent J. Ribas, Juan Carlos Ruiz-Rodríguez, 2011, CIBB.

On the use of decision trees for ICU outcome prediction in sepsis patients treated with statins

Alfredo Vellido, Vicent J. Ribas, Juan Carlos Ruiz-Rodríguez, 2011, 2011 IEEE Symposium on Computational Intelligence and Data Mining (CIDM).

Usefulness of procalcitonin clearance as a prognostic biomarker in septic shock. A prospective pilot study.

J. Ruiz-Rodríguez, A. Ruiz-Sanmartin, V. Ribas, 2012, Medicina intensiva.

ECG assessment based on neural networks with pretraining

Enrique Romero, Vicent J. Ribas, Anna Wojdel, 2016, Appl. Soft Comput..

Metabolite analysis in sepsis through conditional independence maps

Vicent J. Ribas, Gemma Gomà, Ricard Ferrer, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Machine learning in critical care: state-of-the-art and a sepsis case study

Juan Carlos Ruiz Rodríguez, V. Ribas, A. Vellido, 2018, Biomedical engineering online.

Assessment of electrocardiograms with pretraining and shallow networks

Enrique Romero, Vicent J. Ribas, Anna Wojdel, 2014, Computing in Cardiology 2014.

ECG assessment based on neural networks with pretraining

J. Brugada, V. Ribas, E. Romero, 2016, Appl. Soft Comput..