Projects per year
Fingerprint
The fingerprint consists of automatically generated concepts related to the associated persons. It is updated automatically, when new content is added.
- 1 Similar Profiles
Collaborations from the last five years
Dive into details by clicking on the dots.
Projects
- 1 Finished
-
Using probabilistic models in machine learning for risk stratification and prognosis of patients with hospital-acquired infections
Jakobsen, R. S. (PI)
01/01/2019 → 31/12/2021
Project: Research
-
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, In: Health Informatics Journal. 30, 1, 18 p.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile1 Citation (Scopus)13 Downloads (Pure) -
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, In: Journal of Innovation and Entrepreneurship. 13, 1, 9.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile48 Downloads (Pure) -
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) In: Journal of Hospital Infection.Research output: Contribution to journal › Journal article › Research › peer-review
2 Citations (Scopus) -
Using Clinical Explainable Machine Learning Models for Early Identification of Patients at Risk of Hospital-Acquired Infections
Jakobsen, R. S., 2023, Aalborg Universitetsforlag. 123 p.Research output: PhD thesis
Open AccessFile292 Downloads (Pure) -
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. (eds.). Linköping University Electronic Press, p. 70-74 (Linköping Electronic Conference Proceedings; No. 151).Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review
Open AccessFile42 Downloads (Pure)