Saad Mouti and Xiaowu Dai, UC Berkeley

ABSTRACT: Cardiovascular disease (CVD) is the most common non-communicable disease occurring globally. Early diagnosis of CVD and identification of CVD related risk factors has become a health priority. In this work, we evaluate the causal effects of risk factors for CVD using matching methods and subsampling. In particular, we find that obesity is an important risk factor, and the low-carbohydrate diet would significantly mitigate the CVD risk. The results are based on clinical pilot data from Dr. David Unwin. Our results shed light on establishing a working methodology for identifying CVD-related risk factors using a much larger data set. This work is joint with our partners at Cambridge University and Swiss Re Institute. Join via: https://berkeley.zoom.us/j/664816347 Meeting ID: 664 816 347