Open Access

ARTICLE

Ontology-Supported Double-Level Model Construction for International Disaster Medical Relief Resource Forecasting

Min Zhu^1,2,3,#, Huiyu Jin^1,#, Ruxue Chen¹, Quanyi Huang^2,3, Shaobo Zhong⁴, Guang Tian^1,*

1 6th Medical Center of General Hospital, PLA, Beijing, 100084, China
2 Institute of Public Safety Research (IPSR), Tsinghua University, Beijing, 100084, China
3 Beijing Key Laboratory of City Integrated Emergency Response Science, Beijing, 100084, China
4 Beijing Research Center of Urban Systems Engineering, Beijing, 100084, China
# These two authors contributed equally to this work

* Corresponding Author: Guang Tian. Email:

Intelligent Automation & Soft Computing 2020, 26(5), 1097-1109. https://doi.org/10.32604/iasc.2020.010140

Abstract

In a disaster, mass casualties lead to a surge in demand for medical services. Some relief actions have been criticized for being ill-adapted to dominating medical needs. This research established a disaster medical relief planning model in 3 steps. 1. Establishing the two-level conceptual model. 2. Using the ontology method to describe the hierarchy and relating rules of the terms and concepts associated with the model. 3. Using an ontology-support casebased reasoning approach to build the case similarity matching process, which can provide a more efficient system for decision support. A case study validated the model and demonstrated its usage.

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Keywords

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