Publications by authors named "Dacloc Nguyen"
Artificial intelligence MacHIne learning for the detection and treatment of atrial fibrillation guidelines in the emergency department setting (AIM HIGHER): Assessing a machine learning clinical decision support tool to detect and treat non-valvular atrial fibrillation in the emergency department.
J Am Coll Emerg Physicians Open
August 2021
Objective: Advanced machine learning technology provides an opportunity to improve clinical electrocardiogram (ECG) interpretation, allowing non-cardiology clinicians to initiate care for atrial fibrillation (AF). The Lucia Atrial Fibrillation Application (Lucia App) photographs the ECG to determine rhythm detection, calculates CHA2DS2-VASc and HAS-BLED scores, and then provides guideline-recommended anticoagulation. Our purpose was to determine the rate of accurate AF identification and appropriate anticoagulation recommendations in emergency department (ED) patients ultimately diagnosed with AF.
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- Exceeding environmental pollutant levels raises concerns about their impact on public and human health, particularly in Italy's severe air quality hotspots like the Veneto region.
- A comprehensive study focused on the organic fraction of aerosols in Sernaglia della Battaglia, utilizing advanced mass spectrometry to identify various pollutants.
- Results revealed four main sources of particulate matter: solid fuel combustion, petroleum combustion, vehicle emissions, and industrial processes, highlighting critical contributors to local air pollution.