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Our study utilized machine learning algorithms to identify four common major risk factors (i.e., occupational exposure to arsenic, smoking, residential radon, occupational exposure to silica) and high impactful risk factors (i.e., Occupational exposure to asbestos, High systolic blood pressure, Secondhand smoke, Child wasting, and Alcohol use), as well as Multiple Joinpoint Regression to identify increasing trends of LCM rates in 142 countries (e.g., China and India)