Results 111 to 120 of about 106,044 (253)

The unrealistic expectations of CPR success: a comparative public survey of Saudi Arabia and the United States

open access: yesSaudi Journal of Emergency Medicine
Background: Success rates of cardiopulmonary resuscitation (CPR) in in-hospital cardiac arrest (INCA) and out-of-hospital cardiac arrest OOHCA is reported to be 15% and 3%, respectively. However, people in the general population have high and unrealistic
Thamer Khalid Zoghbi   +2 more
doaj   +1 more source

Phased Chest and Abdominal Compression-Decompression Versus Conventional Cardiopulmonary Resuscitation in Out-of-Hospital Cardiac Arrest [PDF]

open access: bronze, 2001
Hans-Richard Arntz   +8 more
openalex   +1 more source

Multimodal deep learning approach to predicting neurological recovery from coma after cardiac arrest [PDF]

open access: yesarXiv
This work showcases our team's (The BEEGees) contributions to the 2023 George B. Moody PhysioNet Challenge. The aim was to predict neurological recovery from coma following cardiac arrest using clinical data and time-series such as multi-channel EEG and ECG signals.
arxiv  

Public Access Defibrillator Deployment for Cardiac Arrests: A Learn-Then-Optimize Approach with SHAP-based Interpretable Analytics [PDF]

open access: yesarXiv
Out-of-hospital cardiac arrest (OHCA) survival rates remain extremely low due to challenges in the timely accessibility of medical devices. Therefore, effective deployment of automated external defibrillators (AED) can significantly increase survival rates.
arxiv  

Early Risk Prediction of Pediatric Cardiac Arrest from Electronic Health Records via Multimodal Fused Transformer [PDF]

open access: yesarXiv
Early prediction of pediatric cardiac arrest (CA) is critical for timely intervention in high-risk intensive care settings. We introduce PedCA-FT, a novel transformer-based framework that fuses tabular view of EHR with the derived textual view of EHR to fully unleash the interactions of high-dimensional risk factors and their dynamics.
arxiv  

Continuous Cardiac Arrest Prediction in ICU using PPG Foundation Model [PDF]

open access: yesarXiv
Non-invasive patient monitoring for tracking and predicting adverse acute health events is an emerging area of research. We pursue in-hospital cardiac arrest (IHCA) prediction using only single-channel finger photoplethysmography (PPG) signals. Our proposed two-stage model Feature Extractor-Aggregator Network (FEAN) leverages powerful representations ...
arxiv  

Surgical coronary revascularization and antiarrhythmic therapy in survivors of out-of-hospital cardiac arrest [PDF]

open access: bronze, 2002
Abeel A. Mangi   +7 more
openalex   +1 more source

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