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Validation of an artificial intelligence-based algorithm for predictive performance and risk stratification of sepsis using real-world data from hospitalised patients: a prospective observational study

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Contributors: Conceptualisation: K-BL, HC, J-HK, data curation: KHL, formal analysis: KHL, funding acquisition: KJK, BEA, K-BL, HC, investigation: EYH, I-CK, SHP, C-HC, GIY, HC, YJ, methodology: EYH, I-CK, SHP, C-HC, GIY, HC, K-BL, J-HK, TS, J-YW, project administration: KJK, K-BL, HC, BEA, J-HK, GIY, YJ, resources: J-HK, GIY, YJ, TS, JWY, BEA, software: KHL, YJ, supervision: K-BL, HC, J-HK, KJK, BEA, validation: KHL, K-BL, YJ, TS, J-YW, visualisation: KHL, J-HK, writing—original draft: J-HK, KHL, writing—review and editing: J-HK, K-BL, HC, J-YW, KJK, TS, EYH, I-CK, SHP, C-HC. K-BL is the guarantor.

Funding: This study was administratively supported by the Ministry of Health and Welfare, Korea Health Industry Development Institute, and Daegu Metropolitan City (Grant number: N/A).

Supplemental material: This content has been supplied by the author(s). It has not been vetted by BMJ Publishing Group Limited (BMJ) and may not have been peer-reviewed. Any opinions or recommendations discussed are solely those of the author(s) and are not endorsed by BMJ. BMJ disclaims all liability and responsibility arising from any reliance placed on the content. Where the content includes any translated material, BMJ does not warrant the accuracy and reliability of the translations (including but not limited to local regulations, clinical guidelines, terminology, drug names and drug dosages), and is not responsible for any error and/or omissions arising from translation and adaptation or otherwise.

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