Integrated machine learning and deep learning for predicting diabetic nephropathy model construction, validation, and interpretability.

Journal: Endocrine
PMID: 38393509

Abstract

OBJECTIVE: To construct a risk prediction model for assisted diagnosis of Diabetic Nephropathy (DN) using machine learning algorithms, and to validate it internally and externally.

Authors

  • Junjie Ma
    College of Education and Sports Sciences, Yangtze University, Jingzhou, China.
  • Shaoguang An
    Department of Clinical Medicine, Bengbu Medical University, Bengbu, China.
  • Mohan Cao
    Department of Clinical Medicine, Bengbu Medical University, Bengbu, China.
  • Lei Zhang
    Division of Gastroenterology, Union Hospital, Tongji Medical College Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Jin Lu
    Computer Science & Engineering Department at the University of Connecticut.

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