| Literature DB >> 31101532 |
L Anne Gilmore1, Leanne M Redman2.
Abstract
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.Entities:
Keywords: Gestational weight gain; Mathematical models; Prepregnancy weight; Weight loss; Weight management
Mesh:
Year: 2019 PMID: 31101532 PMCID: PMC6903398 DOI: 10.1016/j.nutres.2019.03.013
Source DB: PubMed Journal: Nutr Res ISSN: 0271-5317 Impact factor: 3.315