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1.
Does Reinforcement Learning Improve Outcomes for Critically Ill Patients? A Systematic Review and Level-of-Readiness Assessment.
Crit Care Med
; 52(2): e79-e88, 2024 02 01.
Artículo
en Inglés
| MEDLINE | ID: mdl-37938042
2.
Evolution of Clinical Phenotypes of COVID-19 Patients During Intensive Care Treatment: An Unsupervised Machine Learning Analysis.
J Intensive Care Med
; 38(7): 612-629, 2023 Jul.
Artículo
en Inglés
| MEDLINE | ID: mdl-36744415
3.
Systematic Review and Comparison of Publicly Available ICU Data Sets-A Decision Guide for Clinicians and Data Scientists.
Crit Care Med
; 50(6): e581-e588, 2022 06 01.
Artículo
en Inglés
| MEDLINE | ID: mdl-35234175
4.
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
5.
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
6.
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
7.
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
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.
Electrocardiographic changes are strongly correlated with the extent of cardiac inflammation in mice with Coxsackievirus B3-induced viral myocarditis.
Cardiovasc Pathol
; 54: 107367, 2021.
Artículo
en Inglés
| MEDLINE | ID: mdl-34245872
12.
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
13.
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
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