Statistical Methods for Data Mining

  • Benjamini Y
  • Leshno M
N/ACitations
Citations of this article
39Readers
Mendeley users who have this article in their library.
Get full text

Abstract

PURPOSE OF REVIEW: The primary goal of hemodynamic therapy is the prevention of inadequate tissue perfusion and inadequate oxygenation. Advanced cardiovascular monitoring is a prerequisite to optimize hemodynamic treatment in critically ill patients prone to cardiocirculatory failure. The most ideal cardiac output (CO) monitor should be reliable, continuous, noninvasive, operator-independent and cost-effective and should have a fast response time. Moreover, simultaneous measurement of cardiac preload enables the diagnosis of hypovolemia and hypervolemia. RECENT FINDINGS: Over recent years, a number of significant studies in the field of CO monitoring have been published. The available CO monitoring techniques can be divided into invasive techniques, minimally invasive techniques, and noninvasive techniques. SUMMARY: Minor invasive arterial thermodilution is the standard for the estimation of CO. Less invasive and continuous techniques such as pulse-contour CO and arterial waveform analysis are preferable. The accuracy of noncalibrated pulse-contour analysis is still a matter of discussion, although recent studies demonstrate acceptable accuracy compared with a standard technique. Doppler techniques are minimally invasive and offer a reasonable trend monitoring of CO. Noninvasive continuous techniques such as bioimpedance and bioreactance require further investigation.

Cite

CITATION STYLE

APA

Benjamini, Y., & Leshno, M. (2009). Statistical Methods for Data Mining. In Data Mining and Knowledge Discovery Handbook (pp. 523–540). Springer US. https://doi.org/10.1007/978-0-387-09823-4_25

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free