怀孕
产后
肥胖
大流行
医学
计算机科学
产科
2019年冠状病毒病(COVID-19)
生物
内科学
遗传学
传染病(医学专业)
疾病
作者
L. Anne Gilmore,Leanne M. Redman
标识
DOI:10.1016/j.nutres.2019.03.013
摘要
Obesity is a complex pandemic, and its effective management involves addressing many different factors. This complexity has given rise to novel analytic methods, integrating intensive computational, engineering, and statistical techniques. Mathematical models are currently applied to inform clinical practice. At the 2017 The Korean Nutrition Society 50th Anniversary International Conference, the development of such models and their application to improve data accuracy and patient care during the pregnancy and postpartum periods were discussed.
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