Published on in Vol 8, No 6 (2020): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/15431, first published .
Ensemble Learning Models Based on Noninvasive Features for Type 2 Diabetes Screening: Model Development and Validation

Ensemble Learning Models Based on Noninvasive Features for Type 2 Diabetes Screening: Model Development and Validation

Ensemble Learning Models Based on Noninvasive Features for Type 2 Diabetes Screening: Model Development and Validation

Tianzhou Yang   1 * , MD ;   Li Zhang   1 * , PhD ;   Liwei Yi   2 , MD ;   Huawei Feng   1 , PhD ;   Shimeng Li   1 , PhD ;   Haoyu Chen   2 , MD ;   Junfeng Zhu   1 , PhD ;   Jian Zhao   1 , MD ;   Yingyue Zeng   1 , PhD ;   Hongsheng Liu   1, 3, 4 , PhD

1 School of Life Science, Liaoning University, Shenyang, China

2 School of Information, Liaoning University, Shenyang, China

3 Research Center for Computer Simulating and Information Processing of Bio-macromolecules of Shenyang, Liaoning University, Shenyang, China

4 Engineering Laboratory for Molecular Simulation and Designing of Drug Molecules of Liaoning, Shenyang, China

*these authors contributed equally

Corresponding Author:

  • Hongsheng Liu, PhD
  • School of Life Science
  • Liaoning University
  • No. 66, Chongshan Middle road
  • Shenyang, 110036
  • China
  • Phone: 86 024-62202280
  • Fax: 86 024-62202280
  • Email: liuhongsheng@lnu.edu.cn