Risk factors of urinary incontinence in Chinese women based on random forest

Objective: To explore the risk factors of urinary incontinence (UI) in China by using random forest algorithm, and to evaluate the predictive effect of each risk factor on UI. Methods: A baseline survey with a multistage stratified cluster sampling design was conducted between February 2014 and January 2016, and followed up by telephone from June to December 2018. A total of 55 477 adult women from six provinces of China participated the survey....