Abstract
In this paper, we investigate the interaction impacts of body mass index (BMI) on the other important risk factors for venous thromboembolism (VTE), using deep venous thrombosis (DVT) patient data from the International Warfarin Pharmacogenetics Consortium (IWPC). We apply eight machine learning techniques, including naive Bayes classifier (NB), support vector machine (SVM), elastic net regression (ENET), logistic regression (LR), lasso regression (LAR), multivariate adaptive regression splines (MARS), boosted regression tree (BRT) and random forest model (RF). The RF method is selected as the best model for classification. Out of 33 features considered in this study, we identify 12 variables as relatively important risk factors for VTE. Finally, we examine the interaction impacts of BMI on these important VTE risk factors. We conclude that the impacts of risk factors on VTE incidence are varying across different BMI groups, and the variations are different for different risk factors. Therefore the interaction impacts of BMI on the other risk factors have to be taken into account in order to better understand the incidence of VTE.
Highlights
Venous thromboembolism (VTE), a term referring to blood clots in the veins, is a disorder that includes deep vein thrombosis (DVT) and pulmonary embolism (PE)
We select the best classification model from the eight machine learning (ML) methods presented in Section 2; second, we identify the important risk factors for VTE using the selected model; third, we examine the interaction impact of body mass index (BMI) on the other risk factors for VTE
We investigate the interaction impact of BMI on the other important VTE risk factors
Summary
Venous thromboembolism (VTE), a term referring to blood clots in the veins, is a disorder that includes deep vein thrombosis (DVT) and pulmonary embolism (PE). It is the third most common vascular disorder in Caucasian after myocardial infarction and stroke [1, 2]. Yang et al [10] classified obesity as a moderate risk factor for VTE incidence, and found it can interact with other risk factors in VTE development and increase the risk of VTE. Obesity increases the VTE incidence, and causes other chronic diseases such as diabetes, hypertension, coronary heart disease, and ischemic stroke [10].
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