Machine learning screening of risk factors for diabetic microvascular complications and construction of a gradient boosting decision tree predictive model.
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| Title: | Machine learning screening of risk factors for diabetic microvascular complications and construction of a gradient boosting decision tree predictive model. |
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| Authors: | Xiao M; Department of Laboratory Medicine, Sichuan Provincial People's Hospital Chuandong Hospital and Dazhou First People's Hospital, Dazhou, China., Fu Y; College of Medical Technology, Chengdu University of Traditional Chinese Medicine, Chengdu, China., Li Y; Department of Laboratory Medicine, Sichuan Provincial People's Hospital Chuandong Hospital and Dazhou First People's Hospital, Dazhou, China., Liu Q; Department of Laboratory Medicine, Sichuan Provincial People's Hospital Chuandong Hospital and Dazhou First People's Hospital, Dazhou, China., Qiao X; Department of Laboratory Medicine, Sichuan Provincial People's Hospital Chuandong Hospital and Dazhou First People's Hospital, Dazhou, China., Zhang H; Department of Laboratory Medicine, Sichuan Provincial People's Hospital Chuandong Hospital and Dazhou First People's Hospital, Dazhou, China., Zhu X; Department of Laboratory Medicine, Sichuan Provincial People's Hospital Chuandong Hospital and Dazhou First People's Hospital, Dazhou, China., Wang J; Department of Laboratory Medicine, Sichuan Provincial People's Hospital Chuandong Hospital and Dazhou First People's Hospital, Dazhou, China.; Department of Laboratory Medicine, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China. |
| Source: | Frontiers in endocrinology [Front Endocrinol (Lausanne)] 2026 Apr 21; Vol. 17, pp. 1784699. Date of Electronic Publication: 2026 Apr 21 (Print Publication: 2026). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Frontiers Research Foundation] Country of Publication: Switzerland NLM ID: 101555782 Publication Model: eCollection Cited Medium: Print ISSN: 1664-2392 (Print) Linking ISSN: 16642392 NLM ISO Abbreviation: Front Endocrinol (Lausanne) Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1664-2392 |
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| DOI: | 10.3389/fendo.2026.1784699 |
