How well can signs and symptoms predict AMI in the Malaysian population?

International Journal of Cardiology

Volumn 102, Issue 1, 2005, Pages 87-93

  Bulgiba, A M ^a   Razaz, M ^b  

^a UNIVERSITY OF MALAYA   (Malaysia)

^b UNIVERSITY OF EAST ANGLIA   (United Kingdom)

Author keywords

Acute myocardial infarction; Diagnosis; Multiple logistic regression; Prediction

Indexed keywords

ACUTE HEART INFARCTION; ADULT; ANALGESIA; ANAMNESIS; ARTICLE; BREATHING; CONTROLLED STUDY; COUGHING; DECISION SUPPORT SYSTEM; DIABETES MELLITUS; DIAGNOSTIC ACCURACY; DISEASE ASSOCIATION; DISEASE EXACERBATION; ELECTRONIC MEDICAL RECORD; EXERCISE; FACE; FEMALE; HEART PALPITATION; HOSPITAL; HUMAN; INDIAN; INTELLIGENCE; MALAYSIA; MALE; MATHEMATICAL COMPUTING; MULTIVARIATE LOGISTIC REGRESSION ANALYSIS; NAUSEA AND VOMITING; PHYSICAL EXAMINATION; POPULATION; PREDICTION; PRIORITY JOURNAL; RACE; REST; SEX; SMOKING; SWEATING; SYMPTOM; TECHNIQUE; THORAX MALFORMATION; THORAX PAIN;

ADULT; AGE FACTORS; CHEST PAIN; DIAGNOSIS, DIFFERENTIAL; EXERCISE TEST; FEMALE; HOSPITAL RECORDS; HUMANS; INCIDENCE; MALAYSIA; MALE; MIDDLE AGED; MYOCARDIAL INFARCTION; POPULATION SURVEILLANCE; PREDICTIVE VALUE OF TESTS; REGRESSION ANALYSIS; RETROSPECTIVE STUDIES; RISK FACTORS; SEVERITY OF ILLNESS INDEX;

EID: 20444485787     PISSN: 01675273     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijcard.2004.04.002     Document Type: Article

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