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1.
Mortality prediction models in the adult critically ill: A scoping review.
Acta Anaesthesiol Scand
; 64(4): 424-442, 2020 04.
Artículo
en Inglés
| MEDLINE | ID: mdl-31828760
2.
A Digitally Enabled Combined Lifestyle Intervention for Weight Loss: Pilot Study in a Dutch General Population Cohort.
JMIR Form Res
; 8: e38891, 2024 Feb 08.
Artículo
en Inglés
| MEDLINE | ID: mdl-38329792
3.
Deep embedded clustering generalisability and adaptation for integrating mixed datatypes: two critical care cohorts.
Sci Rep
; 14(1): 1045, 2024 01 10.
Artículo
en Inglés
| MEDLINE | ID: mdl-38200252
4.
The necessity of incorporating non-genetic risk factors into polygenic risk score models.
Sci Rep
; 13(1): 1351, 2023 02 20.
Artículo
en Inglés
| MEDLINE | ID: mdl-36807592
5.
Effect of a Digitally-Enabled, Preventive Health Program on Blood Pressure in an Adult, Dutch General Population Cohort: An Observational Pilot Study.
Int J Environ Res Public Health
; 19(7)2022 03 31.
Artículo
en Inglés
| MEDLINE | ID: mdl-35409854
6.
Changes in Blood Lipid Levels After a Digitally Enabled Cardiometabolic Preventive Health Program: Pre-Post Study in an Adult Dutch General Population Cohort.
JMIR Cardio
; 6(1): e34946, 2022 Mar 23.
Artículo
en Inglés
| MEDLINE | ID: mdl-35319473
7.
A Pilot Study on the Prevalence of Micronutrient Imbalances in a Dutch General Population Cohort and the Effects of a Digital Lifestyle Program.
Nutrients
; 14(7)2022 Mar 29.
Artículo
en Inglés
| MEDLINE | ID: mdl-35406037
8.
Comparison of Machine Learning Models Including Preoperative, Intraoperative, and Postoperative Data and Mortality After Cardiac Surgery.
JAMA Netw Open
; 5(10): e2237970, 2022 10 03.
Artículo
en Inglés
| MEDLINE | ID: mdl-36287565
9.
Development and Validation of Decision Rules Models to Stratify Coronary Artery Disease, Diabetes, and Hypertension Risk in Preventive Care: Cohort Study of Returning UK Biobank Participants.
J Pers Med
; 11(12)2021 Dec 07.
Artículo
en Inglés
| MEDLINE | ID: mdl-34945794
10.
Identifying and characterizing high-risk clusters in a heterogeneous ICU population with deep embedded clustering.
Sci Rep
; 11(1): 12109, 2021 06 08.
Artículo
en Inglés
| MEDLINE | ID: mdl-34103544
11.
Cognitive biases, environmental, patient and personal factors associated with critical care decision making: A scoping review.
J Crit Care
; 64: 144-153, 2021 08.
Artículo
en Inglés
| MEDLINE | ID: mdl-33906103
12.
Ensemble machine learning prediction and variable importance analysis of 5-year mortality after cardiac valve and CABG operations.
Sci Rep
; 11(1): 3467, 2021 02 10.
Artículo
en Inglés
| MEDLINE | ID: mdl-33568739
13.
A Bayesian Network Analysis of the Diagnostic Process and Its Accuracy to Determine How Clinicians Estimate Cardiac Function in Critically Ill Patients: Prospective Observational Cohort Study.
JMIR Med Inform
; 7(4): e15358, 2019 10 30.
Artículo
en Inglés
| MEDLINE | ID: mdl-31670697
14.
Observational Study Protocol for Repeated Clinical Examination and Critical Care Ultrasonography Within the Simple Intensive Care Studies.
J Vis Exp
; (143)2019 01 16.
Artículo
en Inglés
| MEDLINE | ID: mdl-30735183
15.
The use of clustering algorithms in critical care research to unravel patient heterogeneity.
Intensive Care Med
; 45(7): 1025-1028, 2019 07.
Artículo
en Inglés
| MEDLINE | ID: mdl-31062051
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