Multiple Linear Regression and Artificial Neural Network to Predict Blood Glucose in Overweight Patients.

Journal: Experimental and clinical endocrinology & diabetes : official journal, German Society of Endocrinology [and] German Diabetes Association
PMID: 26797861

Abstract

BACKGROUND: Overweight individuals are at higher risk for developing type II diabetes than the general population. We conducted this study to analyze the correlation between blood glucose and biochemical parameters, and developed a blood glucose prediction model tailored to overweight patients.

Authors

  • J Wang
    Joint Laboratory of Modern Agricultural Technology International Cooperation; Key Laboratory of Animal Production, Product Quality, and Security; College of Animal Science and Technology, Jilin Agricultural University, Changchun, China. moa4short@outlook.com.
  • F Wang
    Beijing Hui-Long-Guan Hospital, Peking University, Beijing, China.
  • Y Liu
    Google Health Palo Alto California USA.
  • J Xu
    The Affiliated Wenling Hospital of Wenzhou Medial University, Wenling, China.
  • H Lin
    23 Strands Pty Ltd, 107, 26 Pirrama Rd, Pyrmont, NSW Australia.
  • B Jia
    Inner Mongolia Medical University, Hohhot, China.
  • W Zuo
    Ningbo Fourth Hospital, Xiangshan, China.
  • Y Jiang
    Ningbo Fourth Hospital, Xiangshan, China.
  • L Hu
    Department of Pharmacy, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, China.
  • F Lin
    Laboratory of Internal Medicine, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, China.

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