{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,12]],"date-time":"2026-04-12T23:12:29Z","timestamp":1776035549569,"version":"3.50.1"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643686080","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,8,7]],"date-time":"2025-08-07T00:00:00Z","timestamp":1754524800000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,8,7]]},"abstract":"<jats:p>Healthcare-associated infections (HAI) are a significant burden to patients, hospitals, health systems and society. Infection prevention and control measures are well established and evidence-based, however, no detailed risk assessment is included aiming at personalized IPC measures. In preparation of an individual risk assessment application for decision support for hospital-onset bloodstream infections (HOBSI), we present initial findings of re-analyses of a dataset including 4290 patients from a large study. We applied logistic regression modeling and a random forest approach to identify candidate risk parameters available in routine hospital data.<\/jats:p>","DOI":"10.3233\/shti251149","type":"book-chapter","created":{"date-parts":[[2025,8,7]],"date-time":"2025-08-07T11:42:33Z","timestamp":1754566953000},"source":"Crossref","is-referenced-by-count":1,"title":["Potential Risk Factors for Hospital-Onset Bloodstream Infections \u2013 Initial Findings Within the RISK PRINCIPE Project for Data-Driven Clinical Decision Support"],"prefix":"10.3233","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6462-2579","authenticated-orcid":false,"given":"Miriam","family":"Kesselmeier","sequence":"first","affiliation":[{"name":"Institute of Medical Statistics, Computer and Data Sciences, Jena University Hospital \u2013 Friedrich Schiller University Jena, Jena, Germany"}]},{"name":"RISK PRINCIPE Study Group","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0009-0002-1597-4134","authenticated-orcid":false,"given":"Anna Thalea","family":"Hoogestraat","sequence":"additional","affiliation":[{"name":"Big Data in Medicine, Department of Health Services Research, Carl von Ossietzky Universit\u00e4t Oldenburg, Oldenburg, Germany"}]},{"given":"Tom","family":"Baumgartl","sequence":"additional","affiliation":[{"name":"Visualization and Visual Analytics, University of Cologne, K\u00f6ln, Germany"}]},{"given":"Anna","family":"Bludau","sequence":"additional","affiliation":[{"name":"Department of Infection Control and Infectious Diseases, University Medical Center G\u00f6ttingen, G\u00f6ttingen, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4134-980X","authenticated-orcid":false,"given":"Meta Miriam","family":"Boenniger","sequence":"additional","affiliation":[{"name":"Institute for Digital Medicine and Clinical Data Science, Goethe University Frankfurt, Frankfurt, Germany"}]},{"given":"Mike","family":"Marquet","sequence":"additional","affiliation":[{"name":"Institute of Infectious Diseases and Infection Control, Jena University Hospital \u2013 Friedrich Schiller University Jena, Jena, Germany"}]},{"given":"Joelle","family":"Naim","sequence":"additional","affiliation":[{"name":"Peter L. Reichertz Institute for Medical Informatics of TU Braunschweig and Hannover Medical School, Hannover, Germany"}]},{"given":"Nicolas","family":"Reinoso-Schiller","sequence":"additional","affiliation":[{"name":"Department of Infection Control and Infectious Diseases, University Medical Center G\u00f6ttingen, G\u00f6ttingen, Germany"}]},{"given":"Stefan","family":"Hagel","sequence":"additional","affiliation":[{"name":"Institute of Infectious Diseases and Infection Control, Jena University Hospital \u2013 Friedrich Schiller University Jena, Jena, Germany"}]},{"given":"Tadea","family":"Schmitz","sequence":"additional","affiliation":[{"name":"Visualization and Visual Analytics, University of Cologne, K\u00f6ln, Germany"}]},{"given":"Cord","family":"Spreckelsen","sequence":"additional","affiliation":[{"name":"Institute of Medical Statistics, Computer and Data Sciences, Jena University Hospital \u2013 Friedrich Schiller University Jena, Jena, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3108-6495","authenticated-orcid":false,"given":"Sebastian","family":"Uschmann","sequence":"additional","affiliation":[{"name":"Institute of Medical Statistics, Computer and Data Sciences, Jena University Hospital \u2013 Friedrich Schiller University Jena, Jena, Germany"}]},{"given":"Martin","family":"Wiesenfeldt","sequence":"additional","affiliation":[{"name":"Institute for Medical Informatics, University Medicine G\u00f6ttingen, G\u00f6ttingen, Germany"}]},{"given":"Tatiana","family":"Von Landesberger","sequence":"additional","affiliation":[{"name":"Visualization and Visual Analytics, University of Cologne, K\u00f6ln, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2550-2627","authenticated-orcid":false,"given":"Antje","family":"Wulff","sequence":"additional","affiliation":[{"name":"Big Data in Medicine, Department of Health Services Research, Carl von Ossietzky Universit\u00e4t Oldenburg, Oldenburg, Germany"}]},{"given":"Mathias","family":"Pletz","sequence":"additional","affiliation":[{"name":"Institute of Infectious Diseases and Infection Control, Jena University Hospital \u2013 Friedrich Schiller University Jena, Jena, Germany"}]},{"given":"Simone","family":"Scheithauer","sequence":"additional","affiliation":[{"name":"Department of Infection Control and Infectious Diseases, University Medical Center G\u00f6ttingen, G\u00f6ttingen, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9406-4704","authenticated-orcid":false,"given":"Andr\u00e9","family":"Scherag","sequence":"additional","affiliation":[{"name":"Institute of Medical Statistics, Computer and Data Sciences, Jena University Hospital \u2013 Friedrich Schiller University Jena, Jena, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5921-3073","authenticated-orcid":false,"given":"Michael","family":"Marschollek","sequence":"additional","affiliation":[{"name":"Peter L. Reichertz Institute for Medical Informatics of TU Braunschweig and Hannover Medical School, Hannover, Germany"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","MEDINFO 2025 \u2014 Healthcare Smart \u00d7 Medicine Deep"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI251149","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,7]],"date-time":"2025-08-07T11:42:34Z","timestamp":1754566954000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI251149"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,8,7]]},"ISBN":["9781643686080"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti251149","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"value":"0926-9630","type":"print"},{"value":"1879-8365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,8,7]]}}}