Affiliation:
1. Hassan Premier University
2. Chouaib Doukkali University
Abstract
Abstract
Efficiency is crucial, in Emergency Departments (EDs). It can be hindered by the number of patients. In this study we present a solution that utilizes the increasing amount of healthcare data and advancements in data analysis techniques. Our approach involves a combination of LSTM and Decision Tree models to enhance the accuracy of predicting volume, in EDs. The results indicate that our model outperforms existing methods suggesting its potential to improve ED efficiency.
Publisher
Research Square Platform LLC
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