Identifying chemotherapy beneficiaries in nasal and paranasal sinus cancers: epidemiological trends and machine learning insights

This study revealed a declining trend in incidence rates beginning in 2012. The gradient boosting model demonstrated robust performance, playing a crucial role in predicting patient prognosis and the significance of chemotherapy.

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Publication Details

Journal
European journal of medical research
Published
2025-04-01
DOI
https://doi.org/10.1186/s40001-025-02425-6
Primary Topic
Head and Neck Surgical Oncology
Type
article
Field-Weighted Citation Impact
0.00
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article

Identifying chemotherapy beneficiaries in nasal and paranasal sinus cancers: epidemiological trends and machine learning insights

Xinyi Hong, Sufang Qiu, Xin Chen, Zihan Chen et al.
European journal of medical research
Head and Neck Surgical Oncology
article

Identifying chemotherapy beneficiaries in nasal and paranasal sinus cancers: epidemiological trends and machine learning insights

Xinyi Hong, Sufang Qiu, Xin Chen, Zihan Chen, Jing Wang, Wenxi Wu, Yuhui Pan, Zijie Wu, Zongwei Huang, Youliang Weng
article en

Abstract

This study revealed a declining trend in incidence rates beginning in 2012. The gradient boosting model demonstrated robust performance, playing a crucial role in predicting patient prognosis and the significance of chemotherapy.

European journal of medical researchVol. 30(1)
Fujian Medical University (CN), Fudan University Shanghai Cancer Center (CN)
Good health and well-being
Openalex Percentile: Top 89%
Head and Neck Surgical Oncology
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