Smart platform for Blood Management in Healthcare using AI/ML Approach

W. Benelmir, A. Hemmak, B. Senouci*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

The blood management system confronts a challenge with blood transfusions and their distribution regardless of the efforts of the World Health Organization and other global health organizations: inadequate supply, excessive demand, and a shortage of accessible blood. Due to its ability to raise labor efficiency and service quality via systematic management, artificial intelligence is currently necessary to enhance blood supply operations. The objective of this work is to provide an AI/ML platform that facilitates the use of data to assist health professionals in making the most effective management choices that are consistent with methods for minimizing waste and costs. By more accurately anticipating blood demand. As production models, we are using both time series and machine learning methods as prediction models. The optimal performance model for the provided case study was determined by comparing the performance outcomes of each method. In this work, autoregressive Moving Average models, autoregressive Integrated Moving Average models, and seasonal ARIMA models are applied. In addition, we used four native algorithms for machine learning: Artificial Neural Networks, Linear Regression, and Support Vector Regression. The results demonstrate that both types of forecasting models can significantly enhance the management of the blood supply.

Original languageEnglish
Title of host publication2023 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)
PublisherIEEE
Publication date2023
Pages7-11
ISBN (Electronic)9781665456456
DOIs
Publication statusPublished - 2023
Event5th International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2023 - Virtual, Online, Indonesia
Duration: 20. Feb 202323. Feb 2023

Conference

Conference5th International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2023
Country/TerritoryIndonesia
CityVirtual, Online
Period20/02/202323/02/2023
SeriesInternational Conference on Artificial Intelligence in Information and Communication (ICAIIC)
ISSN2831-6991

Keywords

  • Blood Bank Management
  • Blood Supply Chain
  • Machine Learning Algorithms
  • Time Series Forecasting Models

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