Statistical and Machine Learning Methods for Vaccine Demand Forecasting: A Comparative Analysis

• 作 者: Rachel T. Alegado Gilbert M. T
• 机 构: NuevaEcijaUniversityofScienceandTechnology,GraduateSchool,AngelesUniversityFoundation
• 出 处: 电脑和通信(英文)
• 发表日期: 2020年10期
• 关键词: Vaccine Demand Forecasting ARIMA Machine Learning Vaccine DemandForecastingARIMA

This study aimed to find a suitable model for forecasting the appropriate stock of vaccines to avoid shortage and over-supply. The Auto-Regressive Integrated Moving Average (ARIMA) and Multilayer Perceptron Neural Network (MLPNN) models were used for fore