Learn More
We hypothesize that local customized modeling will provide more accurate mortality prediction than the current standard approach using existing scoring systems. Mortality prediction models were developed for two subsets of patients in Multi-parameter Intelligent Monitoring for Intensive Care (MIMIC), a public de-identified ICU database, and for the subset(More)
In the context of critical illness, hypotension may be associated with acute kidney injury (AKI). Using the MIMIC II database, we studied the risk of AKI in ICU patients as a function of both the severity and duration of hypoten-sion. Multivariate logistical regression was performed to find correlations between hypotension and AKI. Minimum mean arterial(More)
Patients in critical care often exhibit complex disease patterns. A fundamental challenge in clinical research is to identify clinical features that may be characteristic of adverse patient outcomes. In this work, we propose a data-driven approach for phenotype discovery of patients in critical care. We used Hierarchical Dirichlet Process (HDP) as a(More)
INTRODUCTION Although magnesium plays an important role in aerobic metabolism and magnesium deficiency is a common phenomenon in critical illness, the association between magnesium deficiency and lactic acidosis in the intensive care unit (ICU) has not been defined. METHODS This was a retrospective, cross-sectional study conducted at a 77 ICU bed tertiary(More)
BACKGROUND Fast and accurate quality estimation of the electrocardiogram (ECG) signal is a relevant research topic that has attracted considerable interest in the scientific community, particularly due to its impact on tele-medicine monitoring systems, where the ECG is collected by untrained technicians. In recent years, a number of studies have addressed(More)
Information about the quality of a recorded physiological waveform can be valuable for the detection of critical medical conditions. This work presents a new point-by-point signal quality index (SQI) based on adaptive multichannel prediction which does not rely on ad-hoc morphological feature extraction from the target waveform. An application of the SQI to(More)
Currently, the only way to predict the development of atherosclerosis is to assess risk factors for the disease. Problematically, some risk factors for atherosclerosis remain unidentified, some patients at risk will not develop atherosclerosis, and evaluation of preventative therapy is based on reduction of risk factors, not on documented cessation of the(More)
  • Luis Carlos, Maas Iii, Thor V, Richard T Lee, Roger Thesis Supervisor Jr _ U, Mark +4 others
  • 2007
An experimental study was carried out to examine the possiblity of using textural information from ultrasonic images to help characterize tissues. Several statistical models of increasing generality for the generation of textural characteristics as quantified by the autocorrelation of the ultrasonic scan information are presented. The final model treats the(More)
  • 1