Virtual ICU: An AI-Driven, Real-Time Early Warning System for Critical  Patient with Integrated Simulation

Rehan Parekh, Dr Darshana Patel, Aditiba Jadeja, Soniya Aghera, Dr Darshana Bhatti, Vijaysinh Jadeja

Virtual ICU: An AI-Driven, Real-Time Early Warning System for Critical Patient with Integrated Simulation

Authors

Rehan Parekh, Dr Darshana Patel, Aditiba Jadeja, Soniya Aghera, Dr Darshana Bhatti, Vijaysinh Jadeja

Keywords:

Real-time risk prediction , Machine learning in healthcare , Vital sign monitoring , Early warning system

Abstract

The rapid deterioration of patients in Intensive Care Units (ICUs) necessitates thedevelopment of highly responsive, automated early warning systems. This paper presents "Virtual ICU," a Python-based

References

Ghosh, S., et al. "SafeICU: A Platform for Real-Time ICU Mortality Prediction and Interpretation."

IEEE Journal of Biomedical and Health Informatics 2021; 25(12): 4966-4973. https://tavlab.iiitd.edu.in/theme/critical-care

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Published

2024-11-20

How to Cite

Rehan Parekh, Dr Darshana Patel, Aditiba Jadeja, Soniya Aghera, Dr Darshana Bhatti, Vijaysinh Jadeja. (2024). Virtual ICU: An AI-Driven, Real-Time Early Warning System for Critical Patient with Integrated Simulation. Journal of Computational Analysis and Applications (JoCAAA), 33(08), 2207–2219. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/4266