Nan Chen

Government of the People's Republic of China - Beijing Hospital

China

  • Government of the People's Republic of China - Beijing Hospital

SCHOLARLY PAPERS

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Scholarly Papers (2)

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1.

Development and Validation of a Machine Learning-Based Predictive Model for 30-Day All-Cause Mortality in Critically Ill Patients with the FT4/WBC Ratio

Number of pages: 36 Posted: 09 Jan 2025
Nan Chen, Zhi-Yuan Lu, Guo-Jian Yang, Peng Li, Zinan Zhao, Zheng-Da Lu and Hui-Ping Zhang
Government of the People's Republic of China - Beijing Hospital, Chinese Academy of Sciences (CAS) - School of Artificial Intelligence, Government of the People's Republic of China - Beijing Hospital, Government of the People's Republic of China - Beijing Hospital, Chinese Academy of Medical Sciences - Department of Pharmacology, Chinese Academy of Sciences (CAS) - School of Artificial Intelligence and Government of the People's Republic of China - Beijing Hospital
Downloads 78 (683,334)

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Keywords: MIMIC.IV database, The FT4/WBC ratio, Critically ill, All-cause mortality, Prediction model

2.

Development and Validation of a Machine Learning-Based Predictive Model for 30-Day All-Cause Mortality in Critically Ill Patients with the Free Thyroxine-Leukocyte Index (fTLI)

Number of pages: 39 Posted: 31 Mar 2025
Nan Chen, Zhi-Yuan Lu, Zheng-Da Lu, Zinan Zhao, Zheng-Da Lu and Hui-Ping Zhang
Government of the People's Republic of China - Beijing Hospital, Chinese Academy of Sciences (CAS) - School of Artificial Intelligence, Chinese Academy of Sciences (CAS) - School of Artificial Intelligence, Chinese Academy of Medical Sciences - Department of Pharmacology, affiliation not provided to SSRN and Government of the People's Republic of China - Beijing Hospital
Downloads 20 (1,176,693)

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Free thyroxine-leukocyte index(fTLI), Critically ill, All-cause mortality, Prediction model