Generalizable calibrated machine learning models for real-time atrial fibrillation risk prediction in ICU patients-Reference-Cited by-同舟云学术

Generalizable calibrated machine learning models for real-time atrial fibrillation risk prediction in ICU patients

Published:2023-07 Issue: Volume:175 Page:105086
ISSN:1386-5056
Container-title:International Journal of Medical Informatics
language:en
Short-container-title:International Journal of Medical Informatics

Author:

Verhaeghe Jarne^ORCID,De Corte Thomas^ORCID,Sauer Christopher M.,Hendriks Tom,Thijssens Olivier W.M.^ORCID,Ongenae Femke^ORCID,Elbers Paul,De Waele Jan^ORCID,Van Hoecke Sofie

Publisher

Elsevier BV

Subject

Health Informatics

Reference22 articles.

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2. Postoperative atrial fibrillation following cardiac surgery: a persistent complication;Greenberg;Eur. J. Cardio-Thorac. Surg.,2017

3. Incidence, predictors, and outcomes of new-onset atrial fibrillation in critically ill patients with sepsis. A cohort study;Klein Klouwenberg;Am. J. Respir. Crit. Care Med.,2017

4. New-onset atrial fibrillation in the critically ill;Moss;Crit. Care Med.,2017

5. A clinical prediction model for postcardiac surgery atrial fibrillation in an Asian population;Zhang;Anesth. Analg.,2016

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1. Machine learning in the prediction and detection of new-onset atrial fibrillation in ICU: a systematic review;Journal of Anesthesia;2024-04-09

2. Real-time Patient Response Forecasting in ICU: A Robust Model Driven by LSTM and Advanced Data Processing Approaches;2024 2nd International Conference on Networking and Communications (ICNWC);2024-04-02

3. The ESICM datathon and the ESICM and ICMx data science strategy;Intensive Care Medicine Experimental;2024-03-12

4. Predictive Modelling of Critical Vital Signs in ICU Patients by Machine Learning: An Early Warning System for Improved Patient Outcomes;2024 3rd International Conference for Innovation in Technology (INOCON);2024-03-01

5. Build a bridge between ECG and EEG signals for atrial fibrillation diagnosis using AI methods;Computers in Biology and Medicine;2023-11