Development of Machine Learning-Based Risk Prediction Models to Predict Rapid Weight Gain in Infants: Analysis of Seven Cohorts.

Abstract

Authors

• Miaobing Zheng
  Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Geelong, Australia.
• Yuxin Zhang
  State Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology , Sichuan University , Chengdu 610041 , People's Republic of China.
• Rachel A Laws
  Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Geelong, Australia.
• Peter Vuillermin
  Barwon Health, Geelong, Australia.
• Jodie Dodd
  Discipline of Obstetrics and Gynaecology, The Robinson Research Institute, The University of Adelaide, Adelaide, Australia.
• Li Ming Wen
  School of Public Health and Sydney Medical School, The University of Sydney, Sydney, Australia.
• Louise A Baur
  School of Public Health and Sydney Medical School, The University of Sydney, Sydney, Australia.
• Rachael Taylor
  Department of Medicine, University of Otago, Dunedin, New Zealand.
• Rebecca Byrne
  School of Exercise and Nutrition Sciences, Faculty of Health, Queensland University of Technology, Kelvin Grove, Australia.
• Anne-Louise Ponsonby
  The Florey Institute of Neuroscience and Mental Health, Murdoch Children's Research Institute, Royal Children's Hospital, The University of Melbourne, Parkville, Australia.
• Kylie D Hesketh
  Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Geelong, Australia.

Keywords

External Resources