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1.
Rapid Evaluation of Coronavirus Illness Severity (RECOILS) in intensive care: Development and validation of a prognostic tool for in-hospital mortality.
Acta Anaesthesiol Scand
; 66(1): 65-75, 2022 01.
Artículo
en Inglés
| MEDLINE | ID: mdl-34622441
2.
Predictors for extubation failure in COVID-19 patients using a machine learning approach.
Crit Care
; 25(1): 448, 2021 12 27.
Artículo
en Inglés
| MEDLINE | ID: mdl-34961537
3.
The Dutch Data Warehouse, a multicenter and full-admission electronic health records database for critically ill COVID-19 patients.
Crit Care
; 25(1): 304, 2021 08 23.
Artículo
en Inglés
| MEDLINE | ID: mdl-34425864
4.
Hippocampal volume change measurement: quantitative assessment of the reproducibility of expert manual outlining and the automated methods FreeSurfer and FIRST.
Neuroimage
; 92: 169-81, 2014 May 15.
Artículo
en Inglés
| MEDLINE | ID: mdl-24521851
5.
The influence of patient demographics, disease characteristics and treatment on brain volume loss in Trial Assessing Injectable Interferon vs FTY720 Oral in Relapsing-Remitting Multiple Sclerosis (TRANSFORMS), a phase 3 study of fingolimod in multiple sclerosis.
Mult Scler
; 20(13): 1704-13, 2014 Nov.
Artículo
en Inglés
| MEDLINE | ID: mdl-24812043
6.
Effects of decontamination of the oropharynx and intestinal tract on antibiotic resistance in ICUs: a randomized clinical trial.
JAMA
; 312(14): 1429-1437, 2014 10 08.
Artículo
en Inglés
| MEDLINE | ID: mdl-25271544
7.
Notice of Retraction and Replacement: Oostdijk et al. Effects of Decontamination of the Oropharynx and Intestinal Tract on Antibiotic Resistance in ICUs: A Randomized Clinical Trial. JAMA. 2014;312(14):1429-1437.
JAMA
; 317(15): 1583-1584, 2017 04 18.
Artículo
en Inglés
| MEDLINE | ID: mdl-28418487
8.
INCIDENCE, RISK FACTORS, AND OUTCOME OF SUSPECTED CENTRAL VENOUS CATHETER-RELATED INFECTIONS IN CRITICALLY ILL COVID-19 PATIENTS: A MULTICENTER RETROSPECTIVE COHORT STUDY.
Shock
; 58(5): 358-365, 2022 11 01.
Artículo
en Inglés
| MEDLINE | ID: mdl-36155964
9.
Predicting responders to prone positioning in mechanically ventilated patients with COVID-19 using machine learning.
Ann Intensive Care
; 12(1): 99, 2022 Oct 20.
Artículo
en Inglés
| MEDLINE | ID: mdl-36264358
10.
Assess and validate predictive performance of models for in-hospital mortality in COVID-19 patients: A retrospective cohort study in the Netherlands comparing the value of registry data with high-granular electronic health records.
Int J Med Inform
; 167: 104863, 2022 11.
Artículo
en Inglés
| MEDLINE | ID: mdl-36162166
11.
Risk factors for adverse outcomes during mechanical ventilation of 1152 COVID-19 patients: a multicenter machine learning study with highly granular data from the Dutch Data Warehouse.
Intensive Care Med Exp
; 9(1): 32, 2021 Jun 28.
Artículo
en Inglés
| MEDLINE | ID: mdl-34180025
12.
Some Patients Are More Equal Than Others: Variation in Ventilator Settings for Coronavirus Disease 2019 Acute Respiratory Distress Syndrome.
Crit Care Explor
; 3(10): e0555, 2021 Oct.
Artículo
en Inglés
| MEDLINE | ID: mdl-34671747
13.
Randomized phase I trials of the safety/tolerability of anti-LINGO-1 monoclonal antibody BIIB033.
Neurol Neuroimmunol Neuroinflamm
; 1(2): e18, 2014 Aug.
Artículo
en Inglés
| MEDLINE | ID: mdl-25340070
14.
Measurements of medial temporal lobe atrophy for prediction of Alzheimer's disease in subjects with mild cognitive impairment.
Neurobiol Aging
; 34(8): 2003-13, 2013 Aug.
Artículo
en Inglés
| MEDLINE | ID: mdl-23540941
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