Kirstine Belling

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 et al. · The Lancet Digital Health · 2020 · 329 citations · Full text

Computing, Biomedical Informatics, Health Informatics +17

Novel variation and de novo mutation rates in population-wide de novo assembled Danish trios

Søren Besenbacher, Siyang Liu, José M. G. Izarzugaza et al. · Nature Communications · 2015 · 202 citations · Full text

Life Sciences, Genetics, Molecular Genetics +17

Sequencing and de novo assembly of 150 genomes from Denmark as a population reference

Lasse Maretty, Jacob Malte Jensen, Bent Petersen et al. · Nature · 2017 · 174 citations · Full text

Life Sciences, Biology, Genetics +17

Establishment and characterization of models of chemotherapy resistance in colorectal cancer: Towards a predictive signature of chemoresistance

Niels F. Jensen, Jan Stenvang, Mette K. Beck et al. · Molecular Oncology · 2015 · 139 citations · Full text

Medicine, Cancer Biology, Oncology +16

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 et al. · The Lancet Digital Health · 2019 · 114 citations · Full text

Medicine, Biomedical Informatics, Clinical Classification Systems +13