Development and validation of a nomogram model of lung metastasis in breast cancer based on machine learning algorithm and cytokines

Using machine learning algorithms, this study developed aa nomogram that could effectively identify BC patients who were at a higher risk of developing LM, thus providing a valuable tool for decision-making in clinical settings.

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Publication Details

Journal
BMC Cancer
Published
2025-04-14
DOI
https://doi.org/10.1186/s12885-025-14101-3
Citations
1
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
1.36
Controls
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article

Development and validation of a nomogram model of lung metastasis in breast cancer based on machine learning algorithm and cytokines

Lansheng Zhang, Wei Bao, Miao Hao, Zhaoyi Li
1 citations
BMC Cancer
Radiomics and Machine Learning in Medical Imaging
1.36
article

Development and validation of a nomogram model of lung metastasis in breast cancer based on machine learning algorithm and cytokines

Lansheng Zhang, Wei Bao, Miao Hao, Zhaoyi Li
article en
1 citations

Abstract

Using machine learning algorithms, this study developed aa nomogram that could effectively identify BC patients who were at a higher risk of developing LM, thus providing a valuable tool for decision-making in clinical settings.

BMC CancerVol. 25(1)
Tongji University (CN), Xuzhou Medical College (CN), Second Affiliated Hospital of Xuzhou Medical College (CN), Yangpu Hospital of Tongji University (CN)
Good health and well-being
Openalex Percentile: Top 21%
Radiomics and Machine Learning in Medical Imaging
1.36
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Development and validation of a nomogram model of lung metastasis in breast cancer based on machine learning algorithm and cytokines — Lansheng Zhang, Wei Bao, et al. · BMC Cancer (2025) | TGRS Research Map | TGRS