Blood demand forecasting and supply management: an analytical assessment of key studies utilizing novel computational techniques
Use of data-driven methodologies in enhancing blood transfusion practices is rising,
leveraging big data, machine learning, and optimization techniques to improve demand …
leveraging big data, machine learning, and optimization techniques to improve demand …
[PDF][PDF] Machine learning in transfusion medicine: A scoping review
Blood transfusion is a routine medical procedure in hospitals with over 2 million blood
products transfused in the UK every year at a cost of over£ 300 million and a median …
products transfused in the UK every year at a cost of over£ 300 million and a median …
Harnessing the potential of data‐driven strategies to optimise transfusion practice
No one doubts the significant variation in the practice of transfusion medicine. Common
examples are the variability in transfusion thresholds and the use of tranexamic acid for …
examples are the variability in transfusion thresholds and the use of tranexamic acid for …
Platelet Inventory Management with Approximate Dynamic Programming
We study a stochastic perishable inventory control problem with endogenous (decision-
dependent) uncertainty in shelf-life of units. Our primary motivation is determining ordering …
dependent) uncertainty in shelf-life of units. Our primary motivation is determining ordering …
Perishable Inventory Routing Problem under Uncertainty
G Khalili - 2023 - uwspace.uwaterloo.ca
In an Inventory Routing Problem (IRP), a decision-maker decides the number of units
delivered to each retailer and determines delivery routes, which becomes increasingly …
delivered to each retailer and determines delivery routes, which becomes increasingly …
Data-Driven Modelling and Control of Hospital Blood Inventory
M Mirjalili - 2022 - search.proquest.com
Determining order quantities for platelet and Red Blood Cell (RBC) units at hospitals is a
challenging task since they are perishable and their usage is subject to high uncertainty. In …
challenging task since they are perishable and their usage is subject to high uncertainty. In …