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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.
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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  Data: <searchLink fieldCode="AU" term="%22Meng+S%22">Meng S</searchLink>; Department of Breast and Thyroid Surgery, The First People's Hospital of Yunnan Province, Kunming, Yunnan, China.<br /><searchLink fieldCode="AU" term="%22Liu+S%22">Liu S</searchLink>; Department of Medical Oncology, The First People's Hospital of Yunnan Province, Kunming, Yunnan, China.<br /><searchLink fieldCode="AU" term="%22Lai+M%22">Lai M</searchLink>; Department of Breast and Thyroid Surgery, The First People's Hospital of Yunnan Province, Kunming, Yunnan, China.<br /><searchLink fieldCode="AU" term="%22Li+L%22">Li L</searchLink>; Department of Breast and Thyroid Surgery, The First People's Hospital of Yunnan Province, Kunming, Yunnan, China.
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  Data: <searchLink fieldCode="JN" term="%22101648047%22">Frontiers in medicine</searchLink> [Front Med (Lausanne)] 2026 Jun 10; Vol. 13, pp. 1821410. <i>Date of Electronic Publication: </i>2026 Jun 10 (<i>Print Publication: </i>2026).
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Frontiers+Media+S%2EA%22">Frontiers Media S.A </searchLink><i>Country of Publication: </i>Switzerland <i>NLM ID: </i>101648047 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Print <i>ISSN: </i>2296-858X (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%222296858X%22">2296858X </searchLink><i>NLM ISO Abbreviation: </i>Front Med (Lausanne) <i>Subsets: </i>PubMed not MEDLINE
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        Value: 10.3389/fmed.2026.1821410
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      – Code: eng
        Text: English
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      – TitleFull: Development and validation of an interpretable machine learning model for predicting 5-year recurrence in breast cancer.
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            NameFull: Liu S
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            NameFull: Lai M
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              Text: 2026 Jun 10
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