A Survey of Machine Learning Innovations in Ambulance Services: Allocation, Routing, and Demand Estimation

A Survey of Machine Learning Innovations in Ambulance Services: Allocation, Routing, and Demand Estimation

<p dir="ltr">In the realm of Emergency Medical Services (EMS), the integration of Machine Learning (ML) techniques has emerged as a catalyst for revolutionizing ambulance operations. ML algorithms could play a pivotal role in dynamically allocating resources, devising efficient route...

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Bibliographic Details
Main Author: Reem Tluli (22282702) (author)
Other Authors: Ahmed Badawy (6992093) (author), Saeed Salem (22282705) (author), Mahmoud Barhamgi (12618205) (author), Amr Mohamed (3508121) (author)
Published: 2024
Subjects:
Health sciences
Health services and systems
Information and computing sciences
Machine learning
Emergency medical services (EMS)
ambulance services
machine learning (ml)
allocation optimization
vehicle routing strategies
demand estimation
Medical services
Surveys
Routing
Resource management
Time factors
Emergency services
Prediction algorithms
Real-time systems
Vehicle routing
Estimation
Supply and demand
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