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1.
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
2.
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
3.
The role of technology in minimally invasive surgery: state of the art, recent developments and future directions.
Postgrad Med J
; 93(1097): 159-167, 2017 Mar.
Artículo
en Inglés
| MEDLINE | ID: mdl-27879411
4.
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
5.
Explainable Machine Learning on AmsterdamUMCdb for ICU Discharge Decision Support: Uniting Intensivists and Data Scientists.
Crit Care Explor
; 3(9): e0529, 2021 Sep.
Artículo
en Inglés
| MEDLINE | ID: mdl-34589713
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.
A machine learning approach for real-time modelling of tissue deformation in image-guided neurosurgery.
Artif Intell Med
; 80: 39-47, 2017 07.
Artículo
en Inglés
| MEDLINE | ID: mdl-28750949
8.
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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