Evaluating the Potential of Machine Learning for Discharge Management on Routine Health Insurance Data.
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| Title: | Evaluating the Potential of Machine Learning for Discharge Management on Routine Health Insurance Data. |
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| Authors: | Ritter Z; Department of Medical Informatics, University Medical Center Göttingen, Germany.; Emergency Department, University Medical Center Göttingen, Germany.; University of Göttingen, Campus Institute Data Science, Göttingen, Germany., Maurer MC; Department of Medical Informatics, University Medical Center Göttingen, Germany.; University of Göttingen, Campus Institute Data Science, Göttingen, Germany.; Dpt of Predictive Deep Learning in Medicine and Healthcare, Justus-Liebig University Gießen, Germany., Metsch JM; Department of Medical Informatics, University Medical Center Göttingen, Germany.; University of Göttingen, Campus Institute Data Science, Göttingen, Germany.; Dpt of Predictive Deep Learning in Medicine and Healthcare, Justus-Liebig University Gießen, Germany., Weller L; aQua Institute for Applied Quality Improvement and Research in Health Care, Göttingen, Germany., Pollmann T; aQua Institute for Applied Quality Improvement and Research in Health Care, Göttingen, Germany., Kretzler M; BKK Dachverband, Berlin, Germany., Grobe T; aQua Institute for Applied Quality Improvement and Research in Health Care, Göttingen, Germany., Hauschild AC; Department of Medical Informatics, University Medical Center Göttingen, Germany.; University of Göttingen, Campus Institute Data Science, Göttingen, Germany.; Dpt of Predictive Deep Learning in Medicine and Healthcare, Justus-Liebig University Gießen, Germany. |
| Source: | Studies in health technology and informatics [Stud Health Technol Inform] 2026 May 21; Vol. 336, pp. 388-392. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: IOS Press Country of Publication: Netherlands NLM ID: 9214582 Publication Model: Print Cited Medium: Internet ISSN: 1879-8365 (Electronic) Linking ISSN: 09269630 NLM ISO Abbreviation: Stud Health Technol Inform Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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