Interpretable machine learning models for predicting venous thromboembolism in the intensive care unit: an analysis based on data from 207 centers
Crossref DOI link: https://doi.org/10.1186/s13054-023-04683-4
Published Online: 2023-10-24
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Guan, Chengfu
Ma, Fuxin
Chang, Sijie
Zhang, Jinhua http://orcid.org/0000-0002-5629-0348
Text and Data Mining valid from 2023-10-24
Version of Record valid from 2023-10-24
Article History
Received: 24 August 2023
Accepted: 11 October 2023
First Online: 24 October 2023
Declarations
:
: Not applicable.
: The authors declare that they have no competing interests.