Background Prognostication of heart failure patients from cardiopulmonary exercise test (CPET) currently involves simplification of complex time-series data into summary indices. We hypothesized that prognostication could be improved by considering t...
PURPOSE OF REVIEW: The purpose of this review is to summarize the status of robotic surgery currently, contextualizing the advances and improvements we can expect in the immediate future. Robotics continues to demonstrate increased utility and expans...
Brazilian journal of cardiovascular surgery
Jan 1, 2018
INTRODUCTION: The interest in Expert systems has increased in the medical area. Some of them are employed even for diagnosis. With the variability of transcatheter prostheses, the most appropriate choice can be complex. This scenario reveals an enabl...
Studies in health technology and informatics
Jan 1, 2018
The diagnosis of care problems is a complex process that involves many variables and inferences. This competence begins to acquire during the student stage, but matures later. The qualified professional continues to settle and perfect this judgment a...
Journal of the American Medical Informatics Association : JAMIA
Nov 1, 2017
OBJECTIVE: Predictive analytics create opportunities to incorporate personalized risk estimates into clinical decision support. Models must be well calibrated to support decision-making, yet calibration deteriorates over time. This study explored the...
Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology
Nov 1, 2017
AIMS: There is no universally accepted tool for the risk stratification of syncope patients in the Emergency Department. The aim of this study was to investigate the short-term predictive accuracy of an artificial neural network (ANN) in stratifying ...
Journal of the American Medical Informatics Association : JAMIA
Jul 1, 2017
OBJECTIVE: To compare 3 commercial knowledge bases (KBs) used for detection and avoidance of potential drug-drug interactions (DDIs) in clinical practice.