Severe sepsis mortality prediction with relevance vector machines

• Published in: 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society Vol. 2011; pp. 100 - 103
• Main Authors: Ribas, Vicent J., Lopez, Jesus Caballero, Ruiz-Sanmartin, Adolf, Ruiz-Rodriguez, Juan Carlos, Rello, Jordi, Wojdel, Anna, Vellido, Alfredo
• Format: Conference Proceeding Journal Article
• Language: English
• Published: United States IEEE 01.01.2011
• Subjects: Accuracy; Electric shock; Hospitals; Humans; Incidence; Logistics; Pathology; Prognosis; Proportional Hazards Models; Reproducibility of Results; Risk Assessment - methods; Risk Factors; Sensitivity and Specificity; Sepsis - mortality; Support Vector Machine; Support vector machines; Survival Analysis; Survival Rate; Training

Sepsis is a transversal pathology and one of the main causes of death at the Intensive Care Unit (ICU). It has in fact become the tenth most common cause of death in western societies. Its mortality rates can reach up to 45.7% for septic shock, its most acute manifestation. For these reasons, the pr...