Martin Hylleholt Sillesen
Clinical Research Associate Professor, Clinical Associate Professor
1 - 3 out of 3Page size: 10
- 2024
- Published
Assessing the utility of deep neural networks in detecting superficial surgical site infections from free text electronic health record data
Bonde, A., Lorenzen, S., Brixen, G., Troelsen, Anders & Sillesen, Martin Hylleholt, 2024, In: Frontiers in Digital Health. 5, 9 p., 1249835.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Assessing the utility of natural language processing for detecting postoperative complications from free medical text
Dencker, E. E., Bonde, A., Troelsen, Anders & Sillesen, Martin Hylleholt, 2024, In: BJS open. 8, 2, 8 p., zrae020.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Perioperative factors associated with survival following surgery for pancreatic cancer – a nationwide analysis of 473 cases from Denmark.
Spore, L. M., Dencker, E. E., Aasvang, Eske Kvanner, Hansen, C. P., gpq516, gpq516, Krohn, P. S., Kollbeck, S. L. G., Storkholm, J. H. & Sillesen, Martin Hylleholt, 2024, In: BMC Surgery. 24, 1, 11 p., 76.Research output: Contribution to journal › Journal article › Research › peer-review
ID: 232692310
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241
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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
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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
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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