Subsurface classification of high-resolution seismic data with multivariate statistical techniques: case study from the Strait of Georgia

2002 ◽  
Author(s):  
S.F. Bloomer ◽  
D.C. Mosher ◽  
W.T. Collins ◽  
J.M. Preston ◽  
A. Rosenberger
Keyword(s):  
High Resolution ◽  
Seismic Data ◽  
Statistical Techniques ◽  
Multivariate Statistical Techniques ◽  
Multivariate Statistical ◽  
Strait Of Georgia

Automated Severity Classification of AIDS Hospitalizations

1991 ◽  
Vol 11 (4_suppl) ◽  
pp. S41-S45 ◽  
Author(s):  
Frank W. Stitt ◽  
Ying Lu ◽  
Gordon M. Dickinson ◽  
Nancy G. Klimas
Keyword(s):  
Hiv Risk ◽  
Severity Of Illness ◽  
Statistical Techniques ◽  
Multivariate Statistical Techniques ◽  
Multivariate Statistical ◽  
Severity Classification ◽  
Disease Staging ◽  
Discharge Summaries

To validate an automated AIDS severity-of-illness prognostic algorithm, 2,113 discharge summaries of HIV-infected patients were merged with the Problem-Oriented Medical Synopsis (POMS) and an HIV risk registry. The combination of a medically derived classification and staging algorithm with multivariate statistical techniques was used for automated severity-of-illness disease staging and prognostic assignment. The model correctly predicted the outcomes of 82% of all cases (death, survivorship) at discharge, and 66% of deaths.

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