Predicting Blood Transfusion Requests using Machine Learning and Time Series in Supply Chain Management

Effective blood supply management in healthcare is crucial to meeting patient needs and preventing shortages or wastage.This study presents a comparative evaluation of machine learning and time series forecasting models for predicting daily blood donation and transfusion demand, using realworld data from the Jordanian Blood Bank (2019Bank ( -2023)).Several models, including ARIMA (Autoregressive integrated moving average), SARIMA (Seasonal Autoregressive Integrated Moving