Annelaura Bach Nielsen
Postdoc
Mann Group
Blegdamsvej 3, 2200 København N.
1 - 5 out of 5Page size: 10
- 2022
- E-pub ahead of print
A knowledge graph to interpret clinical proteomics data
Santos Delgado, Alberto, Colaço, A. R., Nielsen, Annelaura Bach, Niu, Lili, Strauss, Maximilian, Geyer, P. E., Coscia, F., Albrechtsen, Nicolai Jacob Wewer, Mundt, F., Jensen, Lars Juhl & Mann, Matthias, 2022, (E-pub ahead of print) In: Nature Biotechnology.Research output: Contribution to journal › Journal article › Research › peer-review
- 2020
- Published
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, H., Nielsen, Annelaura Bach, Nielsen, A. P., Kaas-Hansen, Benjamin Skov, Toft, P., Schierbeck, J., Strøm, T., Chmura, Piotr Jaroslaw, Heimann, M., Dybdahl, L., Spangsege, L., Hulsen, P., Belling, K., Brunak, Søren & Perner, Anders, 2020, In: The Lancet Digital Health. 2, 4, p. e179–91 13 p.Research output: Contribution to journal › Journal article › Research › peer-review
- 2019
- Published
Clinical association to FKBP5 rs1360780 in patients with depression
Dam, Henrik, Buch, J. O. D., Nielsen, Annelaura Bach, Weikop, Pia, Werge, Thomas & Jørgensen, M. B., 2019, In: Psychiatric Genetics. 29, 6, p. 220-225 6 p.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
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, Annelaura Bach, Thorsen-Meyer, H. C., Belling, K., Nielsen, A. P., Thomas, Cecilia Engel, Chmura, Piotr Jaroslaw, Lademann, M., Moseley, Pope Lloyd, Heimann, M., Dybdahl, L., Spangsege, L., Hulsen, P., Perner, Anders & Brunak, Søren, 2019, In: The Lancet Digital Health. 1, 2, p. e78-e89 12 p.Research output: Contribution to journal › Journal article › Research › peer-review
- 2016
- Published
Diagnosis trajectories of prior multi-morbidity predict sepsis mortality
L, Mette, Jensen, A. B., Nielsen, Annelaura Bach, Perner, Anders, Moseley, Pope Lloyd & Brunak, Søren, 4 Nov 2016, In: Scientific Reports. 6, 9 p., 36624.Research output: Contribution to journal › Journal article › Research › peer-review
ID: 135838491
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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
Research output: Contribution to journal › Journal article › Research › peer-review
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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
Research output: Contribution to journal › Journal article › Research › peer-review
Published