Smart Platform for Data Blood Bank Management: Forecasting Demand in Blood Supply Chain Using Machine Learning
importance 7/10
ai assisted
Blood donation and transfusion practices blood supply chain stage: research
Problem
Blood supply chains suffer from uncertain demand, causing wastage and shortages when inventory is insufficient.
Why it matters
Blood transfusion and delivery remain crucial challenges despite World Health Organization efforts.
What the AI did
Machine learning and time series forecasting models power a decision support platform with modules for demand forecasting and balancing collection and distribution.
Results
not stated in source
Impact
Evidence supports only a proposed platform; no measured outcomes are stated.
Record
| Venue | Information |
|---|---|
| Published | 2023 |
| Work type | article |
| Authors | Walid Ben Elmir, Hemmak Allaoua, Benaoumeur Senouci |
| Citations | 65 (OpenAlex, at import time) |
| References | 34 |
| Model or method | not stated in source |
| Organization | not stated in source |
| Primary source | https://doi.org/10.3390/info14010031 |
| Open access | gold |
| Keywords | blood supply chain, demand forecasting, machine learning, decision support, inventory management |
Importance rating
7
significant — thousands to millions affected
Blood transfusion and delivery are called crucial challenges despite WHO efforts; reducing waste and shortages is life-critical, but the abstract gives no scale figures.