Machine learning model based on routine blood and biochemical parameters for early diagnosis of diabetic kidney disease.
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| Title: | Machine learning model based on routine blood and biochemical parameters for early diagnosis of diabetic kidney disease. |
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| Authors: | Yong W; Department of Clinical Laboratory, The Second Affiliated Hospital of Wannan Medical College, Wuhu, China., Peng DD; Department of Clinical Laboratory, The Second Affiliated Hospital of Wannan Medical College, Wuhu, China., Ye K; Department of Clinical Laboratory, The Second Affiliated Hospital of Wannan Medical College, Wuhu, China., Gao JJ; Department of Clinical Laboratory, The Second Affiliated Hospital of Wannan Medical College, Wuhu, China., Cao RX; Department of Laboratory Medicine, The Second People's Hospital of Lianyungang, Lianyungang, China.; Department of Laboratory Medicine, The Second People's Hospital of Lianyungang Affiliated with Kangda College of Nanjing Medical University, Lianyungang, China. |
| Source: | Frontiers in endocrinology [Front Endocrinol (Lausanne)] 2026 Jan 28; Vol. 17, pp. 1720574. Date of Electronic Publication: 2026 Jan 28 (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.2026.1720574 |
