<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>26(1)</volume><submitter>Cheng Y</submitter><journal>BMC medical informatics and decision making</journal><pagination>33</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12859977</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Prediction of intraoperative acquired pressure injury in elderly cardiac surgery patients via machine learning: model development with the MIMIC-IV and external validation.</pubmed_title><pmcid>PMC12859977</pmcid><pubmed_authors>Zhang J</pubmed_authors><pubmed_authors>He W</pubmed_authors><pubmed_authors>Chen L</pubmed_authors><pubmed_authors>Wang Y</pubmed_authors><pubmed_authors>Li L</pubmed_authors><pubmed_authors>Cheng Y</pubmed_authors><pubmed_authors>Shi H</pubmed_authors><pubmed_authors>Yang F</pubmed_authors><pubmed_authors>Zhou J</pubmed_authors></additional><is_claimable>false</is_claimable><name>Prediction of intraoperative acquired pressure injury in elderly cardiac surgery patients via machine learning: model development with the MIMIC-IV and external validation.</name><description/><dates><release>2025-01-01T00:00:00Z</release><publication>2025 Dec</publication><modification>2026-06-12T10:17:52.158Z</modification><creation>2026-06-12T03:12:40.223Z</creation></dates><accession>S-EPMC12859977</accession><cross_references><pubmed>41466406</pubmed><doi>10.1186/s12911-025-03325-9</doi></cross_references></HashMap>