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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.
Augmented intelligence facilitates concept mapping across different electronic health records.
Int J Med Inform
; 179: 105233, 2023 Nov.
Artículo
en Inglés
| MEDLINE | ID: mdl-37748329
5.
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
6.
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
7.
Large-scale ICU data sharing for global collaboration: the first 1633 critically ill COVID-19 patients in the Dutch Data Warehouse.
Intensive Care Med
; 47(4): 478-481, 2021 04.
Artículo
en Inglés
| MEDLINE | ID: mdl-33595710
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