Identifying risk factors for vasculogenic etiology in patients with erectile dysfunction based on clinical features and machine learning.
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| Title: | Identifying risk factors for vasculogenic etiology in patients with erectile dysfunction based on clinical features and machine learning. |
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| Authors: | Wang J; Department of Andrology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China.; Department of Andrology, The First Clinical Medical College of Nanjing University of Chinese Medicine, Nanjing, China., Wu Y; Department of Andrology, Huai'an Hospital of Traditional Chinese Medicine, Huai'an, China., Zhang X; School of Medicine, Nanjing University of Chinese Medicine, Nanjing, China., Lu Y; Department of Andrology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China.; Department of Andrology, The First Clinical Medical College of Nanjing University of Chinese Medicine, Nanjing, China., Piao Z; Department of Andrology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China.; Department of Andrology, The First Clinical Medical College of Nanjing University of Chinese Medicine, Nanjing, China., Zhao W; Department of Urology, Yangzhou Hospital of Traditional Chinese Medicine, Yangzhou, China., Zhang M; Department of Andrology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China.; Department of Andrology, The First Clinical Medical College of Nanjing University of Chinese Medicine, Nanjing, China. |
| Source: | Frontiers in endocrinology [Front Endocrinol (Lausanne)] 2026 May 21; Vol. 17, pp. 1849563. Date of Electronic Publication: 2026 May 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.2026.1849563 |
