{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T10:11:23Z","timestamp":1777630283446,"version":"3.51.4"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643683867","type":"print"},{"value":"9781643683874","type":"electronic"}],"license":[{"start":{"date-parts":[[2023,5,2]],"date-time":"2023-05-02T00:00:00Z","timestamp":1682985600000},"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":[[2023,5,2]]},"abstract":"<jats:p>Background: Artificial Intelligence (AI) has had an important impact on many industries as well as the field of medical diagnostics. In healthcare, AI techniques such as case-based reasoning and data driven machine learning (ML) algorithms have been used to support decision-making processes for complex tasks. This is used to assist medical professionals in making clinical decisions. A way of supporting clinicians is providing predicted prognoses of various ML models. Objectives: Training an ML model based on the data of a hospital and using it on another hospital have some challenges. Methods: In this research, we applied data analysis to discover required data filters on a hospital\u2019s EHR data for training a model for another hospital. Results: We applied experiments on real-world data of ELGA (Austrian health record system) and KAGes (a public healthcare provider of 20+ hospitals in Austria). In this scenario, we train the prediction model for ELGA- authorized health service providers using the KAGes data since we do not have access to the complete ELGA data. Conclusion: Finally, we observed that filtering the data with both feature and value selection increases the classification performance of the prediction model, which is trained for another system.<\/jats:p>","DOI":"10.3233\/shti230006","type":"book-chapter","created":{"date-parts":[[2023,5,10]],"date-time":"2023-05-10T09:56:07Z","timestamp":1683712567000},"source":"Crossref","is-referenced-by-count":1,"title":["Machine Learning Based Risk Prediction for Major Adverse Cardiovascular Events for ELGA-Authorized Clinics1"],"prefix":"10.3233","author":[{"given":"Seda","family":"Polat Erdeniz","sequence":"first","affiliation":[{"name":"Steierm\u00e4rkische Krankenanstaltengesellschaft m. b. H., Graz, Austria"},{"name":"Medical University of Graz, Graz, Austria"},{"name":"Graz University of Technology, Graz, Austria"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Diether","family":"Kramer","sequence":"additional","affiliation":[{"name":"Steierm\u00e4rkische Krankenanstaltengesellschaft m. b. H., Graz, Austria"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Michael","family":"Schrempf","sequence":"additional","affiliation":[{"name":"Steierm\u00e4rkische Krankenanstaltengesellschaft m. b. H., Graz, Austria"},{"name":"Medical University of Graz, Graz, Austria"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Peter P.","family":"Rainer","sequence":"additional","affiliation":[{"name":"Medical University of Graz, Graz, Austria"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alexander","family":"Felfernig","sequence":"additional","affiliation":[{"name":"Graz University of Technology, Graz, Austria"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Trang N.T.","family":"Tran","sequence":"additional","affiliation":[{"name":"Graz University of Technology, Graz, Austria"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tamim","family":"Burgstaller","sequence":"additional","affiliation":[{"name":"Graz University of Technology, Graz, Austria"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sebastian","family":"Lubos","sequence":"additional","affiliation":[{"name":"Graz University of Technology, Graz, Austria"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","dHealth 2023"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI230006","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,5,10]],"date-time":"2023-05-10T09:56:09Z","timestamp":1683712569000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI230006"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,5,2]]},"ISBN":["9781643683867","9781643683874"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti230006","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"value":"0926-9630","type":"print"},{"value":"1879-8365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,5,2]]}}}