Work

Emergency Blood Demand Forecasting after Earthquakes

Year: 2019

Type: article

Abstract: Day-ahead emergency blood demand (EBD) forecasts after earthquakes play a key role in the success emergency blood operations. Demand uncertainties and limited data pose great challenges for accurate EBD forecasts. Given such challenges, we build an adaptive evolutionary support vector regression (AESVR) model to forecast daily EBD. We also build seven other potential models for comparison. Real-word case and data are used to evaluate these models. Computational results demonstrate that the AESVR generates a favorable accuracy. Ranking orders regarding accuracy and complexity of all models can provide guidance for decision-makers and practitioners to make tradeoffs according to their own preferences.

Source: IFAC-PapersOnLine

DOI: 10.1016/j.ifacol.2019.11.209

Authors: P. Jiang, X. Liu, M. Zheng

Institutions: Shanghai Jiao Tong University, National University of Singapore

Language: English

Topic: Blood donation and transfusion practices

Subfield: Management of Technology and Innovation

Field: Business, Management and Accounting

Domain: Social Sciences

SDG: Good health and well-being

Open Access status: diamond

OpenAlex ID: W2998650330

FWCI: 2.943

Cites: 17

Cited by: 8

Related to: 10