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Survival prediction in intensive-care units based on aggregation of long-term disease history and acute physiology: a retrospective study of the Danish National Patient Registry and electronic patient records.
Nielsen AB, Thorsen-Meyer HC, Belling K, Nielsen AP, Thomas CE, Chmura PJ, Lademann M, Moseley PL, Heimann M, Dybdahl L, Spangsege L, Hulsen P, Perner A, Brunak S. Nielsen AB, et al. Among authors: nielsen ap. Lancet Digit Health. 2019 Jun;1(2):e78-e89. doi: 10.1016/S2589-7500(19)30024-X. Epub 2019 May 23. Lancet Digit Health. 2019. PMID: 33323232 Free article.
Dynamic and explainable machine learning prediction of mortality in patients in the intensive care unit: a retrospective study of high-frequency data in electronic patient records.
Thorsen-Meyer HC, Nielsen AB, Nielsen AP, Kaas-Hansen BS, Toft P, Schierbeck J, Strøm T, Chmura PJ, Heimann M, Dybdahl L, Spangsege L, Hulsen P, Belling K, Brunak S, Perner A. Thorsen-Meyer HC, et al. Among authors: nielsen ab, nielsen ap. Lancet Digit Health. 2020 Apr;2(4):e179-e191. doi: 10.1016/S2589-7500(20)30018-2. Epub 2020 Mar 12. Lancet Digit Health. 2020. PMID: 33328078 Free article.
Discovery of plasma proteins associated with ventricular fibrillation during first ST-elevation myocardial infarction via proteomics.
Stampe NK, Ottenheijm ME, Drici L, Wewer Albrechtsen NJ, Nielsen AB, Christoffersen C, Warming PE, Engstrøm T, Winkel BG, Jabbari R, Tfelt-Hansen J, Glinge C. Stampe NK, et al. Among authors: nielsen ab. Eur Heart J Acute Cardiovasc Care. 2024 Mar 11;13(3):264-272. doi: 10.1093/ehjacc/zuad125. Eur Heart J Acute Cardiovasc Care. 2024. PMID: 37811694
A knowledge graph to interpret clinical proteomics data.
Santos A, Colaço AR, Nielsen AB, Niu L, Strauss M, Geyer PE, Coscia F, Albrechtsen NJW, Mundt F, Jensen LJ, Mann M. Santos A, et al. Among authors: nielsen ab. Nat Biotechnol. 2022 May;40(5):692-702. doi: 10.1038/s41587-021-01145-6. Epub 2022 Jan 31. Nat Biotechnol. 2022. PMID: 35102292 Free PMC article.
202 results