Risk of IgE-mediated food allergy and its impact on child growth: A machine learning approach.

Journal: The World Allergy Organization journal
Published Date:

Abstract

OBJECTIVE: Food allergy (FA) directly affects children's nutritional status, with a significantly higher risk of growth retardation among affected children. Identifying risk factors for FA and strategies to promote growth catch-up can offer valuable guidance for the treatment and nutritional management of children with FA.

Authors

  • Ning Zhu
    1 Google, Santa Clara County, CA, USA.
  • Tingting Chen
    Department of Hygiene Detection Center, School of Public Health, Southern Medical University (Guangdong Provincial Key Laboratory of Tropical Disease Research), Guangzhou, Guangdong, China.
  • Lei Wang
    Department of Nursing, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China.
  • Fangyuan Cai
    Department of Pediatric Allergy and Immunology, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, 325027, China.
  • Xiaoying Zhong
    Department of Breast Surgery, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, No. 3 Dongdan, Dongcheng District, Beijing, China.
  • Xiaoxiao Fang
    Department of Pediatric Allergy and Immunology, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, 325027, China.
  • Mingxin Chen
    Department of Pediatric Allergy and Immunology, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, 325027, China.
  • Junyi Lin
    Department of Urology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, China.
  • Huixi Tu
    The Second Clinical Medical College of Wenzhou Medical University, Wenzhou, 325027, China.
  • Yimin Zhao
    MOE Key Laboratory for Nonequilibrium Synthesis and Modulation of Condensed Matter, School of Physics, Xi'an Jiaotong University, Xi'an 710049, China.
  • Yihan Hu
    Department of Acupuncture and Moxibustion, Beijing Key Laboratory of Acupuncture Neuromodulation, Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, 100010, China.
  • Weixi Zhang
    Intelligent Machinery Research Institute, Harbin University of Science and Technology, Harbin, China.
  • Jingjing Song
    Key Laboratory of Imaging Diagnosis and Minimally Invasive Intervention Research, Lishui Hospital of Zhejiang University, Lishui 323000, China.

Keywords

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