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Prediction of Germline BRCA Mutations in High-Risk Breast Cancer Patients Using Machine Learning with Multiparametric Breast MRI Features.

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Title: Prediction of Germline BRCA Mutations in High-Risk Breast Cancer Patients Using Machine Learning with Multiparametric Breast MRI Features.
Authors: Park H; Department of Radiology, Korea University Anam Hospital, Korea University College of Medicine, Seoul 02841, Republic of Korea., Cho KR; Department of Radiology, Korea University Anam Hospital, Korea University College of Medicine, Seoul 02841, Republic of Korea., Lee S; Dnotitia Inc., Seoul 06540, Republic of Korea., Cho D; Dnotitia Inc., Seoul 06540, Republic of Korea., Park KH; Department of Oncology, Korea University Anam Hospital, Korea University College of Medicine, Seoul 02841, Republic of Korea., Cho YS; Korea University Anam Hospital, Korea University College of Medicine, Seoul 02841, Republic of Korea., Song SE; Department of Radiology, Korea University Anam Hospital, Korea University College of Medicine, Seoul 02841, Republic of Korea.
Source: Sensors (Basel, Switzerland) [Sensors (Basel)] 2025 Sep 04; Vol. 25 (17). Date of Electronic Publication: 2025 Sep 04.
Publication Type: Journal Article
Journal Info: Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220 (Electronic) Linking ISSN: 14248220 NLM ISO Abbreviation: Sensors (Basel) Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Prediction of Germline BRCA Mutations in High-Risk Breast Cancer Patients Using Machine Learning with Multiparametric Breast MRI Features.
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  Data: <searchLink fieldCode="AU" term="%22Park+H%22">Park H</searchLink>; Department of Radiology, Korea University Anam Hospital, Korea University College of Medicine, Seoul 02841, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Cho+KR%22">Cho KR</searchLink>; Department of Radiology, Korea University Anam Hospital, Korea University College of Medicine, Seoul 02841, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Lee+S%22">Lee S</searchLink>; Dnotitia Inc., Seoul 06540, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Cho+D%22">Cho D</searchLink>; Dnotitia Inc., Seoul 06540, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Park+KH%22">Park KH</searchLink>; Department of Oncology, Korea University Anam Hospital, Korea University College of Medicine, Seoul 02841, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Cho+YS%22">Cho YS</searchLink>; Korea University Anam Hospital, Korea University College of Medicine, Seoul 02841, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Song+SE%22">Song SE</searchLink>; Department of Radiology, Korea University Anam Hospital, Korea University College of Medicine, Seoul 02841, Republic of Korea.
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  Data: <searchLink fieldCode="JN" term="%22101204366%22">Sensors (Basel, Switzerland)</searchLink> [Sensors (Basel)] 2025 Sep 04; Vol. 25 (17). <i>Date of Electronic Publication: </i>2025 Sep 04.
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