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Development and validation of machine learning models for predicting lung metastasis risk in differentiated thyroid cancer based on two databases.

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第一作者： Haolin,Shen

第一单位： Department of Ultrasound, Zhangzhou Municipal Hospital Affiliated to Fujian Medical University, Zhangzhou, China.

作者： Haolin,Shen ^[1] ; Caiyun,Yang ^[1] ; Yuegui,Wang ^[1] ; Jianmei,Liao ^[1] ; Xianbo,Zuo ^[2] ; Bo,Zhang ^[3] ; Xiao,Yang ^[4]

作者单位： Department of Ultrasound, Zhangzhou Municipal Hospital Affiliated to Fujian Medical University, Zhangzhou, China. ^[1] Department of Dermatology, China-Japan Friendship Hospital, Beijing, China. ^[2] Department of Ultrasound, China-Japan Friendship Hospital, National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine of Chinese Academy of Medical Sciences, Beijing, China.;Department of Institute of Respiratory, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China. ^[3] Department of Ultrasound, Zhangzhou Municipal Hospital Affiliated to Fujian Medical University, Zhangzhou, China.;Department of Ultrasound, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China. ^[4]

关键词 Lung metastasis (LM)Surveillance, Epidemiology, and End Results database (SEER database)differentiated thyroid cancer (DTC)machine learning (ML)

DOI 10.21037/gs-24-481

PMID 39678420

发布时间 2025-01-04

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Gland surgery

2024年13卷11期

2174-2188页

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Development and validation of machine learning models for predicting lung metastasis risk in differentiated thyroid cancer based on two databases.

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Development and validation of machine learning models for predicting lung metastasis risk in differentiated thyroid cancer based on two databases.

Gland surgery

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Gland surgery

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