Predictive modeling for the development of diabetes mellitus using key factors in various machine learning approaches
Aims: Machine learning (ML) approaches are beneficial when automatic identification of relevant features among numerous candidates is desired. We investigated the predictive ability of several ML models for new onset of diabetes mellitus. Methods: In 10,248 subjects who received annual health examin...
Main Authors: | , , , , , , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2024-01-01
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Series: | Diabetes Epidemiology and Management |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2666970623000707 |