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Tariq Dam
Tariq Dam
MD, PhD-candidate, Intensive Care, Amsterdam UMC
Zweryfikowany adres z amsterdamumc.nl
Tytuł
Cytowane przez
Cytowane przez
Rok
Systematic Review and Comparison of Publicly Available ICU Data Sets—A Decision Guide for Clinicians and Data Scientists
CM Sauer, TA Dam, LA Celi, M Faltys, MAA de la Hoz, L Adhikari, ...
Critical care medicine 50 (6), e581-e588, 2022
712022
The Dutch Data Warehouse, a multicenter and full-admission electronic health records database for critically ill COVID-19 patients
LM Fleuren, TA Dam, M Tonutti, DP de Bruin, RCA Lalisang, D Gommers, ...
Critical Care 25, 1-12, 2021
422021
Predictors for extubation failure in COVID-19 patients using a machine learning approach
LM Fleuren, TA Dam, M Tonutti, DP de Bruin, RCA Lalisang, D Gommers, ...
Critical Care 25, 1-10, 2021
342021
Do thresholds for invasive ventilation in hypoxemic respiratory failure exist? A cohort study
CJ Yarnell, A Johnson, T Dam, A Jonkman, K Liu, H Wunsch, L Brochard, ...
American Journal of Respiratory and Critical Care Medicine 207 (3), 271-282, 2023
282023
Large-scale ICU data sharing for global collaboration: the first 1633 critically ill COVID-19 patients in the Dutch Data Warehouse
LM Fleuren, DP de Bruin, M Tonutti, RCA Lalisang, PWG Elbers
Intensive care medicine 47 (4), 478-481, 2021
212021
Rapid Evaluation of Coronavirus Illness Severity (RECOILS) in intensive care: Development and validation of a prognostic tool for in‐hospital mortality
D Plečko, N Bennett, J Mårtensson, TA Dam, R Entjes, TCD Rettig, ...
Acta Anaesthesiologica Scandinavica 66 (1), 65-75, 2022
142022
Evolution of clinical phenotypes of COVID-19 patients during intensive care treatment: an unsupervised machine learning analysis
S Siepel, TA Dam, LM Fleuren, ARJ Girbes, M Hoogendoorn, PJ Thoral, ...
Journal of Intensive Care Medicine, 08850666231153393, 2023
122023
Electrocardiographic changes are strongly correlated with the extent of cardiac inflammation in mice with Coxsackievirus B3-induced viral myocarditis
L Wu, L Woudstra, TA Dam, T Germans, AC van Rossum, HWM Niessen, ...
Cardiovascular Pathology 54, 107367, 2021
122021
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 …
LM Fleuren, M Tonutti, DP de Bruin, RCA Lalisang, TA Dam, D Gommers, ...
Intensive care medicine experimental 9, 1-15, 2021
72021
incidence, risk factors, and outcome of suspected central venous catheter-related infections in critically ill covid-19 patients: a multicenter retrospective cohort study
JM Smit, L Exterkate, AJ Van Tienhoven, ME Haaksma, MLA Heldeweg, ...
Shock 58 (5), 358-365, 2022
62022
Predicting responders to prone positioning in mechanically ventilated patients with COVID-19 using machine learning
TA Dam, LF Roggeveen, F van Diggelen, LM Fleuren, AR Jagesar, ...
Annals of Intensive Care 12 (1), 99, 2022
62022
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 …
I Vagliano, MC Schut, A Abu-Hanna, DA Dongelmans, DW de Lange, ...
International Journal of Medical Informatics 167, 104863, 2022
52022
Some Patients Are More Equal Than Others: Variation in Ventilator Settings for Coronavirus Disease 2019 Acute Respiratory Distress Syndrome
TA Dam, HJ de Grooth, T Klausch, LM Fleuren, DP de Bruin, R Entjes, ...
Critical care explorations 3 (10), 2021
52021
Sharing is caring: how COVID-19 led to large-scale collaboration for icudata. nl
P Elbers, P Thoral, T Dam, L Fleuren
Netherlands Journal of Critical Care 29 (2), 85-86, 2021
32021
Comparative Performance of Intensive Care Mortality Prediction Models Based on Manually Curated Versus Automatically Extracted Electronic Health Record Data
A Jagesar, M Otten, T Dam, L Biesheuvel, DA Dongelmans, S Brinkman, ...
Available at SSRN 4486282, 0
3*
A pragmatic approach to estimating average treatment effects from EHR data: the effect of prone positioning on mechanically ventilated COVID-19 patients
A Izdebski, PJ Thoral, RCA Lalisang, DM McHugh, D Gommers, ...
arXiv preprint arXiv:2109.06707, 2021
22021
on behalf of Dutch ICU Data Sharing Against COVID-19 Collaborators
L Fleuren, M Tonutti, D de Bruin, R Lalisang, T Dam, D Gommers, ...
THE DATA-DRIVEN INTENSIVE CARE UNIT, 111, 0
Category: ICU organization A53-Systematic review and comparison of icu datasets–a decision guide for clinicians and data scientists
CM Sauer, TA Dam, LA Celi, AR Girbes, PW Elbers
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