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Development and Validation of a Multivariable Prediction Model for the Occurrence of Delirium in Hospitalized Gerontopsychiatry and Internal Medicine Patients.

, , , , , , и . eHealth, том 236 из Studies in Health Technology and Informatics, стр. 32-39. IOS Press, (2017)

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Andreas Leodolter

Werner

Philipp Werner

Nachmotorische Kraftstoffeinspritzung zur Partikelfilterregeneration bei Nfz-Dieselmotoren. Uni Stuttgart, (2009)

Werner Sanio

Wege aus der Überschuldung: Nutzung und Nutzen der Schuldnerberatung in individuellen Überschuldungsnotlagen. Uni Mainz, (2009)

Johann Werner Fliescher

Der Zwangskauf im Mietrecht. Uni Oldenburg, (2009)
 

Другие публикации лиц с тем же именем

Information Adapted Machine Learning Models for Prediction in Clinical Workflow., , , , , , и . dHealth, том 260 из Studies in Health Technology and Informatics, стр. 65-72. IOS Press, (2019)Development and Validation of a Multivariable Prediction Model for the Occurrence of Delirium in Hospitalized Gerontopsychiatry and Internal Medicine Patients., , , , , , и . eHealth, том 236 из Studies in Health Technology and Informatics, стр. 32-39. IOS Press, (2017)Correction to: Technology Acceptance of a Machine Learning Algorithm Predicting Delirium in a Clinical Setting: a Mixed-Methods Study., , , , , и . J. Medical Syst., 45 (4): 52 (2021)On the Representation of Machine Learning Results for Delirium Prediction in a Hospital Information System in Routine Care., , , , , , и . ICIMTH, том 251 из Studies in Health Technology and Informatics, стр. 97-100. IOS Press, (2018)Evaluating the Impact of Incorrect Diabetes Coding on the Performance of Multivariable Prediction Models., , , и . ICIMTH, том 251 из Studies in Health Technology and Informatics, стр. 249-252. IOS Press, (2018)Risk prediction of delirium in hospitalized patients using machine learning: An implementation and prospective evaluation study., , , , , , , и . J. Am. Medical Informatics Assoc., 27 (9): 1383-1392 (2020)A Transformer-Based Model Trained on Large Scale Claims Data for Prediction of Severe COVID-19 Disease Progression., , , , , , и . IEEE J. Biomed. Health Informatics, 27 (9): 4548-4558 (сентября 2023)An Improvised Classification Model for Predicting Delirium., , , , , , и . MedInfo, том 264 из Studies in Health Technology and Informatics, стр. 1566-1567. IOS Press, (2019)HIS purchase projects in public hospitals of Styria, Austria., , , , и . Int. J. Medical Informatics, (2000)Technology Acceptance of a Machine Learning Algorithm Predicting Delirium in a Clinical Setting: a Mixed-Methods Study., , , , , и . J. Medical Syst., 45 (4): 48 (2021)