Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/41065, first published .
Development and External Validation of Machine Learning Models for Diabetic Microvascular Complications: Cross-Sectional Study With Metabolites

Development and External Validation of Machine Learning Models for Diabetic Microvascular Complications: Cross-Sectional Study With Metabolites

Development and External Validation of Machine Learning Models for Diabetic Microvascular Complications: Cross-Sectional Study With Metabolites

Feng He   1, 2 , MSc ;   Clarissa Ng Yin Ling   1 , MD ;   Simon Nusinovici   1, 3 , PhD ;   Ching-Yu Cheng   1, 3 , PhD ;   Tien Yin Wong   1, 3 , PhD ;   Jialiang Li   2 * , PhD ;   Charumathi Sabanayagam   1, 3 * , PhD

1 Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore

2 Department of Statistics and Data Science, National University of Singapore, Singapore, Singapore

3 Ophthalmology and Visual Sciences Academic Clinical Program, Duke-NUS Medical School, Singapore, Singapore

*these authors contributed equally

Corresponding Author:

  • Charumathi Sabanayagam, PhD
  • Singapore Eye Research Institute
  • Singapore National Eye Centre
  • The Academia, 20 College Road, Discovery Tower Level 6
  • Singapore, 169856
  • Singapore
  • Phone: 65 6576 7286
  • Fax: 65 6225 2568
  • Email: charumathi.sabanayagam@seri.com.sg