Automated machine learning for early prediction of acute kidney injury in acute pancreatitis.

Authors:
Zhang R; Yin M; Jiang A; Zhang S; Xu X and 1 more

Journal:
BMC Med Inform Decis Mak

Publication Year: 2024

DOI:
10.1186/s12911-024-02414-5

PMCID:
PMC10785491

PMID:
38212745

View on PubMed View on PMC View Publisher
Journal Information

Full Title: BMC Med Inform Decis Mak

Abbreviation: BMC Med Inform Decis Mak

Country: Unknown

Publisher: Unknown

Language: N/A

Publication Details

Subject Category: Medical Informatics

Available in Europe PMC: Yes

Available in PMC: Yes

PDF Available: No

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Transparency Score
3/6
50.0% Transparent
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Evidence found in paper:

"Declarations Ethics approval and consent to participateThis study has obtained approval from the Ethics Committee of Changshu Hospital Affiliated to Soochow University. Informed consent was waived by the Ethics Committee of Changshu Hospital Affiliated to Soochow University. This study was conducted in accordance to the relevant guidelines and regulations. Consent for publicationNot applicable. Competing interestsNo conflict of interest exits in the study. Competing interests No conflict of interest exits in the study."

Evidence found in paper:

"Funding Gusu Health Personnel Training Project (GSWS2020109), and Suzhou City Clinical Key Disease Diagnosis and Treatment Technology Special Project (LCZX202334) sponsored by XX."

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Open Access
Paper is freely available to read
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Last Updated: Aug 05, 2025