1. Science
  2. Publications
  3. Information Processing Systems
  4. 8(106)'2012
  5. Analysis of the forecasting methods for the identification of risk factors for postoperative complications

Analysis of the forecasting methods for the identification of risk factors for postoperative complications

А.V. Yakovenko
Annotations languages:

Risk factors for acute heart failure bypass grafting were identified by logistic regression and discriminant analysis. The comparative analysis of the efficiency of these methods was carried out. It was shown that On the basis of the above methods the information system can be created, which can be used for the correction of the direct care.
Keywords: binary logistic regression, discriminant analysis, predictive analysis, forecasting model