Coronary artery disease risk assessment from unstructured electronic health records using text mining.

Journal of Biomedical Informatics
Jitendra JonnagaddalaHong-Jie Dai

Abstract

Coronary artery disease (CAD) often leads to myocardial infarction, which may be fatal. Risk factors can be used to predict CAD, which may subsequently lead to prevention or early intervention. Patient data such as co-morbidities, medication history, social history and family history are required to determine the risk factors for a disease. However, risk factor data are usually embedded in unstructured clinical narratives if the data is not collected specifically for risk assessment purposes. Clinical text mining can be used to extract data related to risk factors from unstructured clinical notes. This study presents methods to extract Framingham risk factors from unstructured electronic health records using clinical text mining and to calculate 10-year coronary artery disease risk scores in a cohort of diabetic patients. We developed a rule-based system to extract risk factors: age, gender, total cholesterol, HDL-C, blood pressure, diabetes history and smoking history. The results showed that the output from the text mining system was reliable, but there was a significant amount of missing data to calculate the Framingham risk score. A systematic approach for understanding missing data was followed by implementation of imputat...Continue Reading

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Citations

Oct 31, 2015·Journal of Biomedical Informatics·Özlem Uzuner, Amber Stubbs
Oct 4, 2015·Journal of Biomedical Informatics·Vishesh KumarÖzlem Uzuner
Oct 26, 2016·Journal of Vascular Surgery·Elsie Gyang RossNicholas J Leeper
Sep 21, 2016·International Journal of Environmental Research and Public Health·Danqing HuHuilong Duan
Mar 25, 2020·Neural Computing & Applications·Muhammad Imran RazzakGuandong Xu
Mar 6, 2019·International Journal of Environmental Research and Public Health·Berit I HelgheimAna Lucia Martins
May 9, 2019·JMIR Medical Informatics·Seyedmostafa SheikhalishahiVenet Osmani
Mar 20, 2021·Journal of Diabetes Science and Technology·Alexander Turchin, Luisa F Florez Builes
Jul 28, 2021·Journal of Medical Internet Research·Iris HendrickxRudolf B Kool

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