Annelaura Bach Nielsen
Postdoc
Mann Group
Blegdamsvej 3B
2200 København N
- 2022
- Published
A knowledge graph to interpret clinical proteomics data
Santos, A., 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, In: Nature Biotechnology. 40, p. 692–702Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Discrete-time survival analysis in the critically ill: a deep learning approach using heterogeneous data
Thorsen-Meyer, H., Placido, Davide, Kaas-Hansen, Benjamin Skov, Nielsen, A. P., Lange, Theis, Nielsen, Annelaura Bach, Toft, P., Schierbeck, J., Strøm, T., Chmura, Piotr Jaroslaw, Heimann, M., Belling, K., Perner, Anders & Brunak, Søren, 2022, In: npj Digital Medicine. 5, 10 p., 142.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
The association of anxiety and other clinical features with CACNA1C rs1006737 in patients with depression
Dam, H., Buch, J. O. D., Nielsen, Annelaura Bach, Weikop, Pia & Jørgensen, Martin Balslev, 2022, In: Translational Neuroscience. 13, 1, p. 320-326 7 p.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, H., 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, P. L., 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
Beck, M. K., Jensen, A. B., Nielsen, Annelaura Bach, Perner, Anders, Moseley, P. L. & Brunak, Søren, 4 Nov 2016, In: Scientific Reports. 6, 9 p., 36624.Research output: Contribution to journal › Journal article › Research › peer-review
ID: 135838491
Most downloads
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183
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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
Published -
56
downloads
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 -
48
downloads
A knowledge graph to interpret clinical proteomics data
Research output: Contribution to journal › Journal article › Research › peer-review
Published