Data mining of tuberculosis patient data using multiple correspondence analysis

The aim of this study was to demonstrate the epidemiological use of multiple correspondence analysis (MCA), as applied to tuberculosis (TB) data from North East London. Data for TB notifications in North East London primary care trusts (PCTs) between the years 2002 and 2007 were used. TB notificatio...

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Veröffentlicht in:	Epidemiology and infection 2009-12, Vol.137 (12), p.1699-1704
Hauptverfasser:	RENNIE, T. W., ROBERTS, W.
Format:	Artikel
Sprache:	eng
Schlagworte:	Adolescent Adult Aged Biological and medical sciences Child Child, Preschool Cluster Analysis Data Interpretation, Statistical Databases, Factual Datasets Delivery of Health Care Drug resistance Employment Epidemiology Ethnic Groups Ethnicity Female Fundamental and applied biological sciences. Psychology Humans Infant Infant, Newborn infectious disease epidemiology London - epidemiology Male Microbiology Middle Aged Missing data Multivariate Analysis notifications Patients Primary care Risk Factors surveillance Time Factors Tuberculosis tuberculosis (TB) Tuberculosis - diagnosis Tuberculosis - epidemiology Variables
Online-Zugang:	Volltext
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