Profil bibliographique

Louai Abdeh

Informations fournies par OpenAlex. Research Africa ne déduit ni nationalité, ni poste, ni coordonnées personnelles.

5Publications signalées
50Citations signalées
0Affiliations récentes

Les domaines associés

COVID-19 and healthcare impactsInfection Control and VentilationDisaster Response and ManagementGout, Hyperuricemia, Uric AcidTrauma and Emergency Care Studies

Les publications récentes

Accès ouvert 2026 article OpenAlex

30-day postoperative mortality and the effects of hospital preparedness during the COVID-19 pandemic: a pooled analysis of prospective international cohort studies

Dmitri Nepogodiev, Sivesh K. Kamarajah, Aneel Bhangu, Radhika Aacharya et autres

30-day postoperative mortality and the effects of hospital preparedness during the COVID-19 pandemic: a pooled analysis of prospective international cohort studies

0 citations White Rose Research Online (University of Leeds, The University of Sheffield, University of York)
Accès ouvert 2026 article OpenAlex

30-day postoperative mortality and the effects of hospital preparedness during the COVID-19 pandemic: a pooled analysis of prospective international cohort studies

Dmitri Nepogodiev, Dmitri Nepogodiev, Kamarajah SK, Aneel Bhangu et autres

Background: Surgical services were poorly prepared for the COVID-19 pandemic, leading to widescale disruption to elective activity. This study aimed to identify actionable priorities to strengthen pandemic preparedness of surgical and hospital systems. Methods: This study pooled data from three international, prospective …

2 citations The Lancet Regional Health - Europe
Accès ouvert 2021 article OpenAlex

Machine learning risk prediction of mortality for patients undergoing surgery with perioperative SARS-CoV-2: the COVIDSurg mortality score

I Dajti, José Ignacio Valenzuela, L Boccalatte, Nicolas A Gemelli et autres

To support the global restart of elective surgery, data from an international prospective cohort study of 8492 patients (69 countries) was analysed using artificial intelligence (machine learning techniques) to develop a predictive score for mortality in surgical patients with SARS-CoV-2. We found …

fr (code pays fourni par la source)

46 citations British journal of surgery
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