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Annals of Intensive Care|October 20, 2022
Predicting responders to prone positioning in mechanically ventilated patients with COVID-19 using machine learningTariq A Dam, Luca F Roggeveen, Fuda van Diggelen, et al.
Shock (Augusta, Ga.)|September 26, 2022
INCIDENCE, RISK FACTORS, AND OUTCOME OF SUSPECTED CENTRAL VENOUS CATHETER-RELATED INFECTIONS IN CRITICALLY ILL COVID-19 PATIENTS: A MULTICENTER RETROSPECTIVE COHORT STUDYJasper M Smit, Lotte Exterkate, Arne J van Tienhoven, et al.
Critical Care Explorations|October 21, 2021
Some Patients Are More Equal Than Others: Variation in Ventilator Settings for Coronavirus Disease 2019 Acute Respiratory Distress SyndromeTariq A Dam, Harm-Jan de Grooth, Thomas Klausch, et al.
Critical Care (London, England)|August 24, 2021
The Dutch Data Warehouse, a multicenter and full-admission electronic health records database for critically ill COVID-19 patientsLucas M Fleuren, Tariq A Dam, Michele Tonutti, et al.
Critical Care (London, England)|December 28, 2021
Predictors for extubation failure in COVID-19 patients using a machine learning approachLucas M Fleuren, Tariq A Dam, Michele Tonutti, et al.
Intensive Care Medicine Experimental|June 28, 2021
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 WarehouseLucas M Fleuren, Michele Tonutti, Daan P de Bruin, et al.
European Journal of Vascular and Endovascular Surgery : the Official Journal of the European Society for Vascular Surgery|April 26, 2020
Editor's Choice - Nationwide Analysis of Patients Undergoing Iliac Artery Aneurysm Repair in the NetherlandsHamid Jalalzadeh, Reza Indrakusuma, Mark J W Koelemay, et al.
G3 (Bethesda, Md.)|March 6, 2015
Drosophila muller f elements maintain a distinct set of genomic properties over 40 million years of evolutionWilson Leung, Christopher D Shaffer, Laura K Reed, et al.
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