Cristhian Potes
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Table of Contents Open
View article: Longitudinal Validation of Right Ventricular Pressure Monitoring for the Assessment of Right Ventricular Systolic Dysfunction in a Large Animal Ischemic Model
Longitudinal Validation of Right Ventricular Pressure Monitoring for the Assessment of Right Ventricular Systolic Dysfunction in a Large Animal Ischemic Model Open
CONTEXT: Right ventricular (RV) dysfunction is a major cause of morbidity and mortality in intensive care and cardiac surgery. Early detection of RV dysfunction may be facilitated by continuous monitoring of RV waveform obtained from a pul…
View article: Preliminary experience with continuous right ventricular pressure and transesophageal echocardiography monitoring in orthotopic liver transplantation
Preliminary experience with continuous right ventricular pressure and transesophageal echocardiography monitoring in orthotopic liver transplantation Open
Background Despite increasing attention in the cardiac anesthesiology literature, continuous measurement of right ventricular pressure using a pulmonary artery catheter has not been described in orthotopic liver transplantation, despite si…
View article: Prevalence and Temporal Distribution of Extrasystoles in Septic ICU Patients: The Feasibility of Predicting Fluid Responsiveness Using Extrasystoles
Prevalence and Temporal Distribution of Extrasystoles in Septic ICU Patients: The Feasibility of Predicting Fluid Responsiveness Using Extrasystoles Open
Background . Extrasystoles may be useful for predicting the response to fluid therapy in hemodynamically unstable patients but their prevalence is unknown. The aim of this study was to estimate the availability of extrasystoles in intensiv…
View article: An ensemble boosting model for predicting transfer to the pediatric intensive care unit
An ensemble boosting model for predicting transfer to the pediatric intensive care unit Open
View article: A clinical prediction model to identify patients at high risk of hemodynamic instability in the pediatric intensive care unit
A clinical prediction model to identify patients at high risk of hemodynamic instability in the pediatric intensive care unit Open
View article: An Ensemble Boosting Model for Predicting Transfer to the Pediatric\n Intensive Care Unit
An Ensemble Boosting Model for Predicting Transfer to the Pediatric\n Intensive Care Unit Open
Our work focuses on the problem of predicting the transfer of pediatric\npatients from the general ward of a hospital to the pediatric intensive care\nunit. Using data collected over 5.5 years from the electronic health records of\ntwo med…
View article: Ensemble of Feature:based and Deep learning:based Classifiers for Detection of Abnormal Heart Sounds
Ensemble of Feature:based and Deep learning:based Classifiers for Detection of Abnormal Heart Sounds Open
The goal of the 2016 PhysioNet/CinC Challenge is the development of an algorithm to classify normal/abnormal heart sounds.A total of 124 time-frequency features were extracted from the phonocardiogram (PCG) and input to a variant of the Ad…
View article: A dynamic ensemble approach to robust classification in the presence of missing data
A dynamic ensemble approach to robust classification in the presence of missing data Open