Martin Hylleholt Sillesen
Clinical Research Associate Professor, Clinical Associate Professor
- 2021
- 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
- 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
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
An assessment of the effect of the genotype on postoperative venous thromboembolism risk in 140,831 surgical patients
A Christensen, M., Bonde, A. & Sillesen, Martin Hylleholt, 2021, In: Annals of Medicine and Surgery. 71, 102938.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Developing and validating COVID-19 adverse outcome risk prediction models from a bi-national European cohort of 5594 patients
Jimenez-Solem, E., Petersen, T. S., Hansen, C., Hansen, C., Lioma, C., Igel, C., Boomsma, W., Krause, O., Lorenzen, S., Selvan, R., Petersen, J., Nyeland, M. E., Ankarfeldt, M. Z., Virenfeldt, G. M., Winther-Jensen, M., Linneberg, A., Ghazi, M. M., Detlefsen, N., Lauritzen, A. D., Smith, A. G. & 15 others, , 2021, In: Scientific Reports. 11, 1, 12 p., 3246.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Hemorrhage and saline resuscitation are associated with epigenetic and proteomic reprogramming in the rat lung
Bonde, A., Eskesen, T. G., Steinmetz, Jacob, Schoof, E. M., Blicher, L. H. D., Rasmussen, L. S. & Sillesen, Martin Hylleholt, 2021, In: Injury. 52, 8, p. 2095-2103Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Modulation of brain transcriptome by combined histone deacetylase inhibition and plasma treatment following traumatic brain injury and hemorrhagic shock
Dekker, S. E., Biesterveld, B. E., Bambakidis, T., Williams, A. M., Tagett, R., Johnson, C. N., Sillesen, Martin Hylleholt, Liu, B., Li, Y. & Alam, H. B., 2021, In: Shock. 55, 1, p. 110-120Research output: Contribution to journal › Journal article › Research › peer-review
- 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
ID: 232692310
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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