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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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Evolution of Clinical Phenotypes of COVID-19 Patients During Intensive Care Treatment: An Unsupervised Machine Learning Analysis
On behalf of the Dutch ICU Data Sharing Collaborators, 1 Jul 2023, In: Journal of intensive care medicine. 38, 7, p. 612-629 18 p.Research output: Contribution to journal › Article › Academic › peer-review
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Early identification of persistent somatic symptoms in primary care: data-driven and theory-driven predictive modelling based on electronic medical records of Dutch general practices
Kitselaar, W. M., Büchner, F. L., van der Vaart, R., Sutch, S. P., Bennis, F. C., Evers, A. W. & Numans, M. E., 2 May 2023, In: BMJ Open. 13, 5, p. 1-11 11 p., e066183.Research output: Contribution to journal › Article › Academic › peer-review
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