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.

scholarly journals Classification of artisanal Andalusian cheeses on physicochemical parameters applying multivariate statistical techniques

2015 ◽  
Vol 96 (1) ◽  
pp. 95-106 ◽  
Author(s):  
María Auxiliadora de la Haba Ruiz ◽  
Pilar Ruiz Pérez-Cacho ◽  
Rafaela Dios Palomares ◽  
Hortensia Galán-Soldevilla
Keyword(s):  
Physicochemical Parameters ◽  
Statistical Techniques ◽  
Multivariate Statistical Techniques ◽  
Multivariate Statistical

Classification of Southern Basin shore water by multivariate statistical techniques of Lake Biwa, Japan

2017 ◽  
Vol 4 (4) ◽  
pp. 789-807 ◽  
Author(s):  
Asheesh Shrivastava ◽  
Kiichi Shirakawa ◽  
Hiroki Takahashi ◽  
Masahito Sugiyama ◽  
Toshitaka Hori
Keyword(s):  
Lake Biwa ◽  
Statistical Techniques ◽  
Multivariate Statistical Techniques ◽  
Multivariate Statistical ◽  
Southern Basin

Classification of Depressed Patients: A Cluster Analysis Derived Grouping

1971 ◽  
Vol 118 (544) ◽  
pp. 275-288 ◽  
Author(s):  
E. S. Paykel
Keyword(s):  
Cluster Analysis ◽  
Factor Analysis ◽  
Statistical Techniques ◽  
Multivariate Statistical Techniques ◽  
Multivariate Statistical ◽  
Depressed Patients

In recent years there has been a considerable interest in the classification of depressed patients, and in the use of multivariate statistical techniques as tools for classifying, with the hope of either validating traditional classifications or suggesting useful new ones. One technique employed for this purpose has been factor analysis. A number of studies have used this method to explore the overlapping endogenous-reactive or psychotic-neurotic dichotomies. Most have demonstrated a factor or factors reflecting such a dimension which appears to form a consistent, systematic source of variance in ratings of depressed patients (1, 5, 11, 15, 16, 18, 26, 31, 33).

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