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Appropriate use of blood cultures in the emergency department through machine learning (ABC): study protocol for a randomised controlled non-inferiority trial
van der Zaag, A. Y., Bhagirath, S. C., Boerman, A. W., Schinkel, M., Paranjape, K., Azijli, K., Ridderikhof, M. L., Lie, M., Lissenberg-Witte, B., Schade, R., Wiersinga, J., de Jonge, R. & Nanayakkara, P. W. B., 31 May 2024, In: BMJ Open. 14, 5, p. e084053 e084053.Research output: Contribution to journal › Article › Academic › peer-review
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Embracing cohort heterogeneity in clinical machine learning development: a step toward generalizable models
Schinkel, M., Bennis, F. C., Boerman, A. W., Wiersinga, W. J. & Nanayakkara, P. W. B., 1 Dec 2023, In: Scientific reports. 13, 1, 8363.Research output: Contribution to journal › Article › Academic › peer-review
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Detecting changes in the performance of a clinical machine learning tool over time
Schinkel, M., Boerman, A. W., Paranjape, K., Wiersinga, W. J. & Nanayakkara, P. W. B., 1 Nov 2023, In: eBioMedicine. 97, 104823.Research output: Contribution to journal › Article › Academic › peer-review
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