Using machine‐learning methods to support health‐care professionals in making admission decisions
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DOI: 10.1002/hpm.2769
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Cited by:
- Jens Kjølseth Møller & Martin Sørensen & Christian Hardahl, 2021. "Prediction of risk of acquiring urinary tract infection during hospital stay based on machine-learning: A retrospective cohort study," PLOS ONE, Public Library of Science, vol. 16(3), pages 1-16, March.
- Isabel Marques & Zélia Serrasqueiro & Fernanda Nogueira, 2021. "Managers’ Competences in Private Hospitals for Investment Decisions during the COVID-19 Pandemic," Sustainability, MDPI, vol. 13(4), pages 1-14, February.
- Esra Zihni & Vince Istvan Madai & Michelle Livne & Ivana Galinovic & Ahmed A Khalil & Jochen B Fiebach & Dietmar Frey, 2020. "Opening the black box of artificial intelligence for clinical decision support: A study predicting stroke outcome," PLOS ONE, Public Library of Science, vol. 15(4), pages 1-15, April.
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