A Bayesian approach for assessing arterial occlusive disease Damar tikanikhǧi tespitinde Bayesci bir yaklaşim

Cengiz M. A., Terze Y., Bek Y.

Ondokuz Mayis Universitesi Tip Dergisi, vol.21, no.1, pp.6-11, 2004 (Scopus) identifier

  • Publication Type: Article / Article
  • Volume: 21 Issue: 1
  • Publication Date: 2004
  • Journal Name: Ondokuz Mayis Universitesi Tip Dergisi
  • Journal Indexes: Scopus
  • Page Numbers: pp.6-11
  • Keywords: Arterial occlusive disease, Bayesian inference, Generalized linear models
  • Ondokuz Mayıs University Affiliated: Yes

Abstract

Arterial Occlusive disease is a severe ailment, which consists of the partial blockage (stenoses) of an artery, leading to a diminished flow of blood and corresponding pain. In this study, bivariate generalized linear models with Bayesian approach were used for assessing arterial occlusive disease.