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How Well Can Signs And Symptoms Predict Ami In The Malaysian Population?, Awang Bulgiba
How Well Can Signs And Symptoms Predict Ami In The Malaysian Population?, Awang Bulgiba
Awang Bulgiba Awang Mahmud
The aim of the study was to use data from an electronic medical record system (EMR) to look for factors that would help us diagnose acute myocardial infarction (AMT) with the ultimate aim of using these factors in a decision support system for chest pain. We extracted 887 records from the electronic medical record system (EMR) in Selayang Hospital, Malaysia. We cleaned the data, extracted 69 possible variables and performed univariate and multivariate analysis. From the univariate analysis we find that 22 variables are significantly associated with a diagnosis of AMT. However, multiple logistic regression reveals that only 9 of …