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Machine learning model for the prediction of gram-positive and gram-negative bacterial bloodstream infection based on routine laboratory parameters

Published Online: 2023-10-10

Authors

Zhang, Fan

Wang, Hao

Liu, Liyu

Su, Teng

Ji, Bing
Funding

Funding for this research was provided by:

National Natural Science Foundation of China (81873927, 62173212)

Taishan Scholars Program of Shandong Province (tsqn202103165)

Clinical Research Center of Shandong University (2020SDUCRCC013)
License Information

Text and Data Mining valid from 2023-10-10

Version of Record valid from 2023-10-10
More Information

Article History

Received: 27 June 2023

Accepted: 12 September 2023

First Online: 10 October 2023

Declarations

:

: We confirm that all methods were carried out in accordance with relevant guidelines and regulations (declaration of helsinki). Patients with positive blood bacterial culture between 2019 and 2020 were included according to a protocol approved by the Ethics Committee of Qilu Hospital, Shandong University (approval no. KYLL-2018153). The need for informed consent was waived by the ethics committee/Institutional Review Board of Qilu Hospital, Shandong University (approval no. KYLL-2018153), because of the retrospective nature of the study.

: Not applicable.

: The authors declare no competing interests.

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