Detalhe da pesquisa
1.
Empirical meropenem versus piperacillin/tazobactam for adult patients with sepsis (EMPRESS) trial: Protocol.
Acta Anaesthesiol Scand
; 2024 May 20.
Artigo
em Inglês
| MEDLINE | ID: mdl-38769040
2.
Abnormal serum levels of magnesium, phosphate, and zinc in ICU patients-Characteristics, management, and outcomes: The WhyTrace cohort study.
Acta Anaesthesiol Scand
; 67(7): 925-935, 2023 08.
Artigo
em Inglês
| MEDLINE | ID: mdl-37078441
3.
Heterogeneity of treatment effect of stress ulcer prophylaxis in ICU patients: A secondary analysis protocol.
Acta Anaesthesiol Scand
; 63(9): 1251-1256, 2019 10.
Artigo
em Inglês
| MEDLINE | ID: mdl-31321771
4.
Effect of Selepressin vs Placebo on Ventilator- and Vasopressor-Free Days in Patients With Septic Shock: The SEPSIS-ACT Randomized Clinical Trial.
JAMA
; 322(15): 1476-1485, 2019 Oct 15.
Artigo
em Inglês
| MEDLINE | ID: mdl-31577035
5.
Development of a dynamic prediction model for unplanned ICU admission and mortality in hospitalized patients.
PLOS Digit Health
; 2(6): e0000116, 2023 Jun.
Artigo
em Inglês
| MEDLINE | ID: mdl-37294826
6.
Platform trials.
Ugeskr Laeger
; 185(41)2023 10 09.
Artigo
em Dinamarquês
| MEDLINE | ID: mdl-37873986
7.
Using Machine Learning to Identify Patients at High Risk of Inappropriate Drug Dosing in Periods with Renal Dysfunction.
Clin Epidemiol
; 14: 213-223, 2022.
Artigo
em Inglês
| MEDLINE | ID: mdl-35228820
8.
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
9.
Language-agnostic pharmacovigilant text mining to elicit side effects from clinical notes and hospital medication records.
Basic Clin Pharmacol Toxicol
; 131(4): 282-293, 2022 Oct.
Artigo
em Inglês
| MEDLINE | ID: mdl-35834334
10.
Using machine learning for predicting intensive care unit resource use during the COVID-19 pandemic in Denmark.
Sci Rep
; 11(1): 18959, 2021 09 23.
Artigo
em Inglês
| MEDLINE | ID: mdl-34556789
11.
Developing and validating COVID-19 adverse outcome risk prediction models from a bi-national European cohort of 5594 patients.
Sci Rep
; 11(1): 3246, 2021 02 05.
Artigo
em Inglês
| MEDLINE | ID: mdl-33547335
12.
Heterogeneity of treatment effect of prophylactic pantoprazole in adult ICU patients: a post hoc analysis of the SUP-ICU trial.
Intensive Care Med
; 46(4): 717-726, 2020 04.
Artigo
em Inglês
| MEDLINE | ID: mdl-31938829
13.
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
14.
No reduction in mortality after centralisation in treatment of patients with ruptured abdominal aneurism.
Dan Med J
; 66(7)2019 Jul.
Artigo
em Inglês
| MEDLINE | ID: mdl-31256776
15.
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
16.
Machine Learning to Identify Patients at Risk of Inappropriate Dosing for Renal Risk Medications: A Critical Comment on Kaas-Hansen et al [Response to Letter].
Clin Epidemiol
; 14: 765-766, 2022.
Artigo
em Inglês
| MEDLINE | ID: mdl-35707498