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13 used Kaggle bio signals data (304,411 cases, 43 characteristics) to predict smoking status

However, for the same education and income level, non-smokers were consistently more likely to have adhered to guideline recommended screening, followed by e-cigarette users and finally cigarette smokers, thus demonstrating that disparities in screening based on smoking status were evident across all socioeconomic groups (Figure 1)

Bring them in by being communicative and inclusive

The survey was conducted between November 2016 and May by the city managers staff and Healthy RC youth leaders

Although neither of them had any other related factors for cardiovascular disease, they both had serious blood clots in one of the arteries