Detalhe da pesquisa
1.
Targeted serum proteomics of longitudinal samples from newly diagnosed youth with type 1 diabetes distinguishes markers of disease and C-peptide trajectory.
Diabetologia
; 66(11): 1983-1996, 2023 11.
Artigo
em Inglês
| MEDLINE | ID: mdl-37537394
2.
DanMAC5: a browser of aggregated sequence variants from 8,671 whole genome sequenced Danish individuals.
BMC Genom Data
; 24(1): 30, 2023 05 27.
Artigo
em Inglês
| MEDLINE | ID: mdl-37244984
3.
A deep learning algorithm to predict risk of pancreatic cancer from disease trajectories.
Nat Med
; 29(5): 1113-1122, 2023 05.
Artigo
em Inglês
| MEDLINE | ID: mdl-37156936
4.
Discrete-time survival analysis in the critically ill: a deep learning approach using heterogeneous data.
NPJ Digit Med
; 5(1): 142, 2022 Sep 14.
Artigo
em Inglês
| MEDLINE | ID: mdl-36104486
5.
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.
Lancet Digit Health
; 2(4): e179-e191, 2020 04.
Artigo
em Inglês
| MEDLINE | ID: mdl-33328078
6.
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.
Lancet Digit Health
; 1(2): e78-e89, 2019 06.
Artigo
em Inglês
| MEDLINE | ID: mdl-33323232
7.
The governance structure for data access in the DIRECT consortium: an innovative medicines initiative (IMI) project.
Life Sci Soc Policy
; 14(1): 20, 2018 Sep 04.
Artigo
em Inglês
| MEDLINE | ID: mdl-30182269