Projekter pr. år
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Projekter
- 1 Afsluttet
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Using probabilistic models in machine learning for risk stratification and prognosis of patients with hospital-acquired infections
01/01/2019 → 31/12/2021
Projekter: Projekt › Forskning
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A study on the risk stratification for patients within 24 hours of admission for risk of hospital-acquired urinary tract infection using Bayesian network models
Jakobsen, R. S., Nielsen, T. D., Leutscher, P. & Koch, K., 1 mar. 2024, I: Health Informatics Journal. 30, 1, 18 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review
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UNRAVELING DATA FROM AN IDEA MANAGEMENT SYSTEM OF 11 RADICAL INNOVATION PORTFOLIOS: Key lessons and avenues for artificial intelligence integration
Jakobsen, H. S., Brix, J. & Jakobsen, R. S., 2024, I: Journal of Innovation and Entrepreneurship. 13, 1, 9.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review
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Clinical explainable machine learning models for early identification of patients at risk of hospital-acquired urinary tract infection
Jakobsen, R. S., Nielsen, T. D., Leutscher, P. & Koch, K., 31 mar. 2023, (E-pub ahead of print) I: Journal of Hospital Infection.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review
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Using Clinical Explainable Machine Learning Models for Early Identification of Patients at Risk of Hospital-Acquired Infections
Jakobsen, R. S., 2023, Aalborg Universitetsforlag. 123 s.Publikation: Ph.d.-afhandling
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Developing a Bayesian network as a decision support system for evaluating patient with diabetes mellitus admitted to the intensive care unit – a proof of concepts
Jakobsen, R. S., Hejlesen, O., Stausholm, M. N. & Cichosz, S. L., 24 aug. 2018, Proceedings from The 16th Scandinavian Conference on Health Informatics 2018 Aalborg, Denmark August 28–29, 2018. Bygholm, A., Pape-Haugaard, L., Niss, K., Hejlesen, O. & Zhou, C. (red.). Linköping University Electronic Press, s. 70-74 (Linköping Electronic Conference Proceedings; Nr. 151).Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review
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