Development and validation of an interpretable machine learning model for predicting 5-year recurrence in breast cancer.
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| Title: | Development and validation of an interpretable machine learning model for predicting 5-year recurrence in breast cancer. |
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| Authors: | Meng S; Department of Breast and Thyroid Surgery, The First People's Hospital of Yunnan Province, Kunming, Yunnan, China., Liu S; Department of Medical Oncology, The First People's Hospital of Yunnan Province, Kunming, Yunnan, China., Lai M; Department of Breast and Thyroid Surgery, The First People's Hospital of Yunnan Province, Kunming, Yunnan, China., Li L; Department of Breast and Thyroid Surgery, The First People's Hospital of Yunnan Province, Kunming, Yunnan, China. |
| Source: | Frontiers in medicine [Front Med (Lausanne)] 2026 Jun 10; Vol. 13, pp. 1821410. Date of Electronic Publication: 2026 Jun 10 (Print Publication: 2026). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Frontiers Media S.A Country of Publication: Switzerland NLM ID: 101648047 Publication Model: eCollection Cited Medium: Print ISSN: 2296-858X (Print) Linking ISSN: 2296858X NLM ISO Abbreviation: Front Med (Lausanne) Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2296-858X |
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| DOI: | 10.3389/fmed.2026.1821410 |
