چکیده مقاله
One of the most significant factors contributing to patient mortality in mass casualty incidents is the inability to provide sufficient blood in the shortest possible time In mass casualty incidents, the simultaneous arrival of numerous patients at hospitals makes it challenging to meet the blood supply demand promptly In this study, we first simulate the blood supply process for patients in mass casualty incidents and then use the generated simulation data to predict the duration of blood supply to patients using neural network methods The process simulation is conducted using the Arena software, and the final prediction is made in Python
کلیدواژهها
نویسندگان
Mohammadreza Rasouli
Industrial Engineering, Sharif University of Technology, Tehran, Iran
Seyed Amirreza Salehi Amiri
Industrial Engineering, Sharif University of Technology, Tehran, Iran
Erfan Hasannayebi
Industrial Engineering, Sharif University of Technology, Tehran, Iran
شیوه ارجاع
Rasouli, Mohammadreza and Salehi Amiri, Seyed Amirreza and Hasannayebi, Erfan,1403,Simulation of Blood Supply Process in Mass Casualty Incidents and Prediction of Blood Supply Duration Using Neural Networks,The 10th International Conference on Industrial and Systems Engineering,Mashhad
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