Martin Hylleholt Sillesen
Clinical Research Associate Professor, Clinical Associate Professor
1 - 5 out of 5Page size: 10
- 2023
- Published
Assessing optimal methods for transferring machine learning models to low-volume and imbalanced clinical datasets: experiences from predicting outcomes of Danish trauma patients
Millarch, A. S., Bonde, A., Bonde, M., Klein, Kiril Vadimovic, Folke, Fredrik, Rudolph, S. S. & Sillesen, Martin Hylleholt, 2023, In: Frontiers in Digital Health. 5, 1249258.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Assessing the utility of a sliding-windows deep neural network approach for risk prediction of trauma patients
Bonde, A., Bonde, M., Troelsen, Anders & Sillesen, Martin Hylleholt, 2023, In: Scientific Reports. 13, 5176.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Association of Trauma with Long-Term Risk of Death and Immune-Mediated or Cancer Disease in Same-Sex Twins
Eskesen, T. O., Sillesen, Martin Hylleholt, Pedersen, J. K., Pedersen, D. A., Christensen, K., Rasmussen, L. S. & Steinmetz, Jacob, 2023, In: JAMA Surgery. 158, 7, p. 738-745 8 p.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Genetic risk factors for postoperative atrial fibrillation—a nationwide genome-wide association study (GWAS)
Christensen, M. A., Bonde, A. & Sillesen, Martin Hylleholt, 2023, In: Frontiers in Cardiovascular Medicine. 10, 8 p., 1040757.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Impact of para aortic lymph node removal on survival following resection for pancreatic adenocarcinoma
Sillesen, Martin Hylleholt, Hansen, C. P., gpq516, gpq516, Dencker, E. E., Krohn, P. S., Gisela Kollbeck, S. L., Stender, M. T. & Storkholm, J. H., 2023, In: BMC Surgery. 23, 1, 214.Research output: Contribution to journal › Journal article › Research › peer-review
ID: 232692310
Most downloads
-
241
downloads
Developing and validating COVID-19 adverse outcome risk prediction models from a bi-national European cohort of 5594 patients
Research output: Contribution to journal › Journal article › Research › peer-review
Published -
53
downloads
Using machine learning for predicting intensive care unit resource use during the COVID-19 pandemic in Denmark
Research output: Contribution to journal › Journal article › Research › peer-review
Published -
23
downloads
Effect of hospital-admission volume on outcomes following acute non-variceal upper gastrointestinal bleeding
Research output: Contribution to journal › Journal article › Research › peer-review
Published