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Agent-based model framework developed for North Carolina healthcare simulations

By PulseAugur Editorial · [1 sources] ·

Researchers have developed an agent-based model (ABM) framework to simulate healthcare facility operations and patient movement within North Carolina. This framework, detailed in an Overview, Design Concepts, and Details (ODD) Protocol, is designed to be used with disease-specific submodels. Potential applications include simulating intervention effectiveness, assessing strain on resources, and forecasting hospital capacity. AI

IMPACT Provides a foundational framework for simulating healthcare interventions and resource management.

RANK_REASON The cluster contains an academic paper detailing a new modeling framework. [lever_c_demoted from research: ic=1 ai=0.4]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Agent-based model framework developed for North Carolina healthcare simulations

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The cluster contains an academic paper detailing a new modeling framework. [lever_c_demoted from research: ic=1 ai=0.4]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Kasey Jones, Emily Hadley, Caroline Kery, Alexander Preiss, Marie C. D. Stoner, Sarah Rhea ·

    Agent-Based Model Framework for the North Carolina Modeling Infectious Diseases Program (NC MInD ABM) Overview, Design Concepts, and Details Protocol

    arXiv:2202.06853v2 Announce Type: cross Abstract: To help facilitate a variety of simulations related to healthcare facilities in North Carolina, we have developed an agent-based model (ABM) to accurately simulate patient (i.e., agent) movement to and from these facilities. This …

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