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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.
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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  Data: 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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  Data: <searchLink fieldCode="AU" term="%22Chen+C%22">Chen C</searchLink>; Department of Breast, Jiangmen Central Hospital, Jiangmen, Guangdong, China.<br /><searchLink fieldCode="AU" term="%22Wu+J%22">Wu J</searchLink>; The Breast Center, Cancer Hospital of Shantou University Medical College, Shantou, Guangdong, China.<br /><searchLink fieldCode="AU" term="%22Fang+Y%22">Fang Y</searchLink>; The Breast Center, Cancer Hospital of Shantou University Medical College, Shantou, Guangdong, China.<br /><searchLink fieldCode="AU" term="%22Li+Y%22">Li Y</searchLink>; Department of Breast, Jiangmen Central Hospital, Jiangmen, Guangdong, China.<br /><searchLink fieldCode="AU" term="%22Zhang+Q%22">Zhang Q</searchLink>; Department of Breast, Jiangmen Central Hospital, Jiangmen, Guangdong, China.
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  Data: <searchLink fieldCode="JN" term="%22101555782%22">Frontiers in endocrinology</searchLink> [Front Endocrinol (Lausanne)] 2025 Jun 03; Vol. 16, pp. 1557858. <i>Date of Electronic Publication: </i>2025 Jun 03 (<i>Print Publication: </i>2025).
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Frontiers+Research+Foundation]%22">Frontiers Research Foundation] </searchLink><i>Country of Publication: </i>Switzerland <i>NLM ID: </i>101555782 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Print <i>ISSN: </i>1664-2392 (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2216642392%22">16642392 </searchLink><i>NLM ISO Abbreviation: </i>Front Endocrinol (Lausanne) <i>Subsets: </i>MEDLINE
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        Value: 10.3389/fendo.2025.1557858
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      – Code: eng
        Text: English
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        StartPage: 1557858
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      – TitleFull: 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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            NameFull: Wu J
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            NameFull: Fang Y
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            NameFull: Li Y
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            – D: 03
              M: 06
              Text: 2025 Jun 03
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              Y: 2025
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            – TitleFull: Frontiers in endocrinology
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