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Assess and validate predictive performance of models for in-hospital mortality in COVID-19 patients: A retrospective cohort study in the Netherlands comparing the value of registry data with high-granular electronic health records
Vagliano, I., Schut, M. C., Abu-Hanna, A., Dongelmans, D. A., de Lange, D. W., Gommers, D., Cremer, O. L., Bosman, R. J., Rigter, S., Wils, E-J., Frenzel, T., de Jong, R., Peters, M. A. A., Kamps, M. J. A., Ramnarain, D., Nowitzky, R., Nooteboom, F. G. C. A., de Ruijter, W., Urlings-Strop, L. C., Smit, E. G. M., & 29 others , 1 Nov 2022, In: International Journal of Medical Informatics. 167, p. 104863 104863.Research output: Contribution to Journal › Article › Academic › peer-review
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External Validation of a Prediction Model for Falls in Older People Based on Electronic Health Records in Primary Care
Dormosh, N., Heymans, M. W., van der Velde, N., Hugtenburg, J., Maarsingh, O., Slottje, P., Abu-Hanna, A. & Schut, M. C., Oct 2022, In: Journal of the American Medical Directors Association. 23, 10, p. 1691-1697.e3Research output: Contribution to Journal › Article › Academic › peer-review
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Machine learning models for predicting acute kidney injury: a systematic review and critical appraisal
Vagliano, I., Chesnaye, N., Leopold, J. H. . H. H., Jager, K., Abu-Hanna, A. & Schut, M. C., 2 Aug 2022, In: Clinical Kidney Journal. sfac181.Research output: Contribution to Journal › Article › Academic › peer-review
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