Martin Hylleholt Sillesen
Clinical Research Associate Professor, Clinical Associate Professor
- 2021
- Published
Perioperative exercise training for patients with gastrointestinal cancer undergoing surgery: A systematic review and meta-analysis
Thomsen, S. N., Mørup, S. T., Mau-Sørensen, M., Sillesen, Martin Hylleholt, Lahart, I. & Christensen, J. F., 2021, In: European Journal of Surgical Oncology. 47, 12, p. 3028-3039 12 p.Research output: Contribution to journal › Review › Research › peer-review
- Published
Postoperative complications: an observational study of trends in the United States from 2012 to 2018
Dencker, E. E., Bonde, A., Troelsen, Anders, Varadarajan, K. M. & Sillesen, Martin Hylleholt, 2021, In: BMC Surgery. 21, 393.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Assessment of post-trauma complications in eight million trauma cases over a decade in the USA
Jakobsen, R. K., Bonde, A. & Sillesen, Martin Hylleholt, 26 Mar 2021, In: Trauma Surgery and Acute Care Open. 6, 1, 6 p., e000667.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Assessing the utility of deep neural networks in predicting postoperative surgical complications: a retrospective study
Bonde, A., Varadarajan, K. M., Bonde, N., Troelsen, A., Muratoglu, O. K., Malchau, H., Yang, A. D., Alam, H. & Sillesen, Martin Hylleholt, Aug 2021, In: The Lancet Digital Health. 3, 8, p. e471-e485 15 p.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Using machine learning for predicting intensive care unit resource use during the COVID-19 pandemic in Denmark
Lorenzen, S. S., Nielsen, Mads, Jimenez-Solem, E., Petersen, Tonny Studsgaard, Perner, Anders, Thorsen-Meyer, H., Igel, Christian & Sillesen, Martin Hylleholt, 23 Sep 2021, In: Scientific Reports. 11, 1, 10 p., 18959.Research output: Contribution to journal › Journal article › Research › peer-review
- 2022
- Published
A characterization of trauma laparotomies in a scandinavian setting: an observational study
Bentin, J. M., Possfelt-Møller, E., Svenningsen, P., Rudolph, S. S. & Sillesen, Martin Hylleholt, 2022, In: Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine. 30, 43.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Agreement Between Standard and ICD-10-Based Injury Severity Scores
Eskesen, T. O., Sillesen, Martin Hylleholt, Rasmussen, L. S. & Steinmetz, Jacob, 2022, In: Clinical Epidemiology. 14, p. 201-210 10 p.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Increased inflammatory markers in adult patients born with an atrial septal defect
Schram, A. S. L., Sellmer, A., Nyboe, C., Sillesen, Martin Hylleholt & Hjortdal, Vibeke Elisabeth, 2022, In: Frontiers in Cardiovascular Medicine. 9, 9 p., 925314.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Pancreatic surgery during the COVID-19 pandemic 2020–2021: an observational cohort study from a third level referral center
Hansen, C. P., Storkholm, J. H., Sillesen, Martin Hylleholt, Krohn, P. S., gpq516, gpq516 & Hillingsø, Jens Georg, 2022, In: BMC Surgery. 22, 1, 200.Research output: Contribution to journal › Journal article › Research › peer-review
- 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
ID: 232692310
Most downloads
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244
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