<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>135(23)</volume><submitter>Cheng Y</submitter><journal>Chinese medical journal</journal><pagination>2886-2887</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC9945164</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Machine learning for the prediction of acute kidney injury in patients with acute pancreatitis admitted to the intensive care unit.</pubmed_title><pmcid>PMC9945164</pmcid><pubmed_authors>Cao L</pubmed_authors><pubmed_authors>Yang J</pubmed_authors><pubmed_authors>Jin X</pubmed_authors><pubmed_authors>Wang B</pubmed_authors><pubmed_authors>Zhang Z</pubmed_authors><pubmed_authors>Wu Q</pubmed_authors><pubmed_authors>He M</pubmed_authors><pubmed_authors>Kang Y</pubmed_authors><pubmed_authors>Cheng Y</pubmed_authors></additional><is_claimable>false</is_claimable><name>Machine learning for the prediction of acute kidney injury in patients with acute pancreatitis admitted to the intensive care unit.</name><description/><dates><release>2022-01-01T00:00:00Z</release><publication>2022 Dec</publication><modification>2025-04-04T12:44:32.78Z</modification><creation>2025-04-04T12:44:32.78Z</creation></dates><accession>S-EPMC9945164</accession><cross_references><pubmed>36728600</pubmed><doi>10.1097/CM9.0000000000002531</doi></cross_references></HashMap>