Development and validation of novel machine learning-based prognostic models and propensity score matching for comparison of surgical approaches in mucinous breast cancer.
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| Title: | Development and validation of novel machine learning-based prognostic models and propensity score matching for comparison of surgical approaches in mucinous breast cancer. |
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| Authors: | Chen C; Department of Breast, Jiangmen Central Hospital, Jiangmen, Guangdong, China., Wu J; The Breast Center, Cancer Hospital of Shantou University Medical College, Shantou, Guangdong, China., Fang Y; The Breast Center, Cancer Hospital of Shantou University Medical College, Shantou, Guangdong, China., Li Y; Department of Breast, Jiangmen Central Hospital, Jiangmen, Guangdong, China., Zhang Q; Department of Breast, Jiangmen Central Hospital, Jiangmen, Guangdong, China. |
| Source: | Frontiers in endocrinology [Front Endocrinol (Lausanne)] 2025 Jun 03; Vol. 16, pp. 1557858. Date of Electronic Publication: 2025 Jun 03 (Print Publication: 2025). |
| Publication Type: | Journal Article; Validation Study; Comparative Study |
| 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.2025.1557858 |
