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An interpretable machine learning model for predicting bone marrow invasion in patients with lymphoma via 18F-FDG PET/CT: a multicenter study.

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Title: An interpretable machine learning model for predicting bone marrow invasion in patients with lymphoma via 18F-FDG PET/CT: a multicenter study.
Authors: Zhu, Xinyu1 (AUTHOR), Lu, Denglu2 (AUTHOR), Wu, Yang1 (AUTHOR), Lu, Yanqi1 (AUTHOR), He, Liang1 (AUTHOR), Deng, Yanyun2 (AUTHOR), Mu, Xingyu1 (AUTHOR) muxingyu1992@hotmail.com, Fu, Wei1 (AUTHOR) fuwei19700513@163.com
Source: BMC Medical Informatics & Decision Making. 7/15/2025, Vol. 25 Issue 1, p1-13. 13p.
Database: Academic Search Ultimate
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  Data: An interpretable machine learning model for predicting bone marrow invasion in patients with lymphoma via <superscript>18</superscript>F-FDG PET/CT: a multicenter study.
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  Data: <searchLink fieldCode="JN" term="%22BMC+Medical+Informatics+%26+Decision+Making%22">BMC Medical Informatics & Decision Making</searchLink>. 7/15/2025, Vol. 25 Issue 1, p1-13. 13p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=186644942
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        Value: 10.1186/s12911-025-03110-8
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      – Code: eng
        Text: English
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      – TitleFull: An interpretable machine learning model for predicting bone marrow invasion in patients with lymphoma via 18F-FDG PET/CT: a multicenter study.
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            NameFull: Zhu, Xinyu
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            NameFull: Lu, Denglu
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            NameFull: Lu, Yanqi
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            NameFull: He, Liang
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              M: 07
              Text: 7/15/2025
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              Y: 2025
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