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Influential factors for failure to show up for a postpartum visit

机译:未能出现出现产后访问的影响因素

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The postpartum period can be a very challenging time for women, with a lot of factors that might influence their ability to attend a postpartum or postnatal visit. The American College of Obstetricians and Gynecologists affirms that not showing up for a postpartum visit can result in physical, psychological, and social complications. This study aims to pinpoint the influential factors contributing to women's failure to show up for their postpartum visit. This, in turn, can focus specific interventions to assist the identified cohort in showing up for their follow-up visit. The postpartum visit will help in identifying complications, such as depression, and optimize the health and wellness of both mother and infant. Logistic regression, Hoeffding tree, bagging, AdaBoost, and random subspace methods ensembles with a voting methodology for the final prediction are proposed to identify/predict the influential factors. Sensitivity analysis is performed to compare simple logistic regression, Hoeffding tree, bagging, AdaBoost, and random subspace methods ensembles with the proposed voting model.
机译:产后期间可能是一个非常具有挑战性的女性的时间,有很多可能影响他们出席产后或产后访问的能力。美国妇产科医生和妇科医生肯定没有出现出来的产后访问可能导致身体,心理和社会并发症。本研究旨在确定有助于妇女未能出现的影响因素,以获得其产后访问。反过来,这可以侧重于特定的干预措施,以协助所确定的队列显示出现的后续访问。产后访问将有助于确定抑郁症等并发症,并优化母亲和婴儿的健康和健康。建议识别/预测具有最终预测的投票方法的Logistic回归,Hoeffding树,袋装,Adaboost和随机子空间方法。进行敏感性分析以比较简单的逻辑回归,Hoeffd树,袋装,adaboost和随机子空间方法与所提出的投票模型合并。

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