Detalhe da pesquisa
1.
Seasonally adjusted laboratory reference intervals to improve the performance of machine learning models for classification of cardiovascular diseases.
BMC Med Inform Decis Mak
; 24(1): 62, 2024 Mar 04.
Artigo
em Inglês
| MEDLINE | ID: mdl-38438861
2.
Temporal patterns of multi-morbidity in 570157 ischemic heart disease patients: a nationwide cohort study.
Cardiovasc Diabetol
; 21(1): 87, 2022 05 31.
Artigo
em Inglês
| MEDLINE | ID: mdl-35641964
3.
TAILS N-terminomics and proteomics reveal complex regulation of proteolytic cleavage by O-glycosylation.
J Biol Chem
; 293(20): 7629-7644, 2018 05 18.
Artigo
em Inglês
| MEDLINE | ID: mdl-29593093
4.
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
5.
Cohort profile: Copenhagen Hospital Biobank - Cardiovascular Disease Cohort (CHB-CVDC): Construction of a large-scale genetic cohort to facilitate a better understanding of heart diseases.
BMJ Open
; 11(12): e049709, 2021 12 30.
Artigo
em Inglês
| MEDLINE | ID: mdl-36070241
6.
Disease trajectory browser for exploring temporal, population-wide disease progression patterns in 7.2 million Danish patients.
Nat Commun
; 11(1): 4952, 2020 10 02.
Artigo
em Inglês
| MEDLINE | ID: mdl-33009368