Data mining of tuberculosis patient data using multiple correspondence analysis

Epidemiology and Infection

Volumn 137, Issue 12, 2009, Pages 1699-1704

  Rennie, T W ^a   Roberts, W ^a  

^a Newham Primary Care Trust   (United Kingdom)

Author keywords

Epidemiology; Infectious disease epidemiology; Notifications; Surveillance; Tuberculosis (TB)

Indexed keywords

ADOLESCENT; ADULT; AGE; AGED; ANALYTIC METHOD; ARTICLE; BIRTHPLACE; CHILD; CLUSTER ANALYSIS; DATA ANALYSIS; DATA MINING; DIRECTLY OBSERVED THERAPY; DRUG RESISTANCE; EMPLOYMENT; ETHNICITY; FEMALE; GENDER; HOSPITAL ADMISSION; HUMAN; LUNG TUBERCULOSIS; MAJOR CLINICAL STUDY; MALE; MULTIPLE CORRESPONDENCE ANALYSIS; PATIENT INFORMATION; PRIMARY MEDICAL CARE; SPUTUM SMEAR; TUBERCULOSIS; UNITED KINGDOM; ETHNIC GROUP; FACTUAL DATABASE; HEALTH CARE DELIVERY; INFANT; MIDDLE AGED; MULTIVARIATE ANALYSIS; NEWBORN; PRESCHOOL CHILD; RISK FACTOR; STATISTICAL ANALYSIS; TIME;

ADOLESCENT; ADULT; AGED; CHILD; CHILD, PRESCHOOL; CLUSTER ANALYSIS; DATA INTERPRETATION, STATISTICAL; DATABASES, FACTUAL; DELIVERY OF HEALTH CARE; ETHNIC GROUPS; FEMALE; HUMANS; INFANT; INFANT, NEWBORN; LONDON; MALE; MIDDLE AGED; MULTIVARIATE ANALYSIS; RISK FACTORS; TIME FACTORS; TUBERCULOSIS;

EID: 70449713646     PISSN: 09502688     EISSN: 14694409     Source Type: Journal    
DOI: 10.1017/S0950268809002787     Document Type: Article

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