Annelaura Bach Nielsen

Author

University of Copenhagen ORCID

Also Known As

A. Bach Nielsen, A.B. Nielsen, Annelaura B Nielsen, Annelaura B. Nielsen, Annelaura Bach Nielsen, Annelaura Nielsen

Publications

994

Citations

H-Index

Concepts

All Affiliations

University of Copenhagen Rigshospitalet Novo Nordisk Foundation Max Planck Institute of Biochemistry Capital Region of Denmark

About

Annelaura Bach Nielsen is an author at University of Copenhagen specializing in clinical decision support, public health, and databases.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Medicine	1	1	61
2	Public Health	1	1	61
3	Biostatistics	1	1	61
4	Data Science	1	1	61
5	Health Informatics	1	1	61

Annelaura Bach Nielsen

Publications

948

Citations

H-Index

Page 1

	Year	Citations
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 Hans‐Christian Thorsen‐Meyer, Annelaura Bach Nielsen, Anna Pors Nielsen, The Lancet Digital Health	2020	315
A knowledge graph to interpret clinical proteomics data Alberto Santos, Ana R. Colaço, Annelaura Bach Nielsen, Nature Biotechnology	2022	273
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 Annelaura Bach Nielsen, Hans‐Christian Thorsen‐Meyer, Kirstine Belling, The Lancet Digital Health	2019	112
Diagnosis trajectories of prior multi-morbidity predict sepsis mortality Mette K. Beck, Anders Boeck Jensen, Annelaura Bach Nielsen, Scientific Reports	2016	88
Clinical Knowledge Graph Integrates Proteomics Data into Clinical Decision-Making Alberto Santos, Ana R. Colaço, Annelaura Bach Nielsen, Clinical DataTranslational BioinformaticsData ScienceOpen Source PlatformClinical Database	2020	61
Imputation of label-free quantitative mass spectrometry-based proteomics data using self-supervised deep learning Henry Webel, Lili Niu, Annelaura Bach Nielsen, Nature Communications	2024	41
Discrete-time survival analysis in the critically ill: a deep learning approach using heterogeneous data Hans‐Christian Thorsen‐Meyer, Davide Placido, Benjamin Skov Kaas‐Hansen, npj Digital Medicine	2022	31
Bridging the Gap From Proteomics Technology to Clinical Application: Highlights From the 68th Benzon Foundation Symposium Vincent Albrecht, Johannes B. Mueller‐Reif, Thierry M. Nordmann, Molecular & Cellular Proteomics	2024	17
Mass spectrometry-based proteomics data from thousands of HeLa control samples Henry Webel, Yasset Pérez‐Riverol, Annelaura Bach Nielsen, Scientific Data	2024	10

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