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Towards an Efficient and Secure Blood Bank Management System
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Towards an Efficient and Secure Blood Bank Management System (2020)Towards an Efficient and Secure Blood Ban…Towards a Smart City: Application of Optimization for a Smart Transportation Management System (2018)Towards a Smart City: Applica…Artificial Neural Network Based Approach for Blood Demand Forecasting (2017)Artificial Neural Network Bas…Reducing uncertainty in demand for blood (2016)Reducing uncertainty in deman…Technological advancements, digital transformation, and future trends in blood transfusion services (2024)Technological advancements, d…Data-driven forecasting for operational planning of emergency medical services (2022)Data-driven forecasting for o…Time Series Analysis: Forecasting and Control. (1978)Distribution of the Estimators for Autoregressive Time Series with a Unit Root (1979)Testing for a Unit Root in Time Series Regression (1988)Population-based projections of blood supply and demand, China, 2017–2036 (2019)Machine learning algorithms for forecasting and backcasting blood demand data with missing values and outliers: A study of Tema General Hospital of Ghana (2021)Supply Chain Management: Strategy, Planning and Operations (2000)Supply Chain Management. Strategy, Planning & Operation (2007)Supply Chain Management of Blood Products: A Literature Review (2011)Applications of Artificial Intelligence in Supply Chain Management and Logistics: Focusing Onto Recognition for Supply Chain Execution (2019)Forecasting of weekly patient visits to emergency department: real case study (2019)Inventory Management using Machine Learning (2020)Integer programming model for optimizing bus timetable using genetic algorithm (2017)Passenger satisfaction modeling in public bus transportation based on business model approach: Ten city case studies (2025)Emergency medical services and beyond: Addressing new challenges through a wide literature review (2016)Application of discrete event simulation in health care: a systematic review (2018)Data Analytics in Operations Management: A Review (2019)Real-time decision support model for logistics of emergency patient transfers from hospitals via an integrated optimisation and machine learning approach (2024)Reducing demand uncertainty in the platelet supply chain through artificial neural networks and ARIMA models (2019)An intelligent system for blood donation process optimization - smart techniques for minimizing blood wastages (2022)Smart Platform for Data Blood Bank Management: Forecasting Demand in Blood Supply Chain Using Machine Learning (2023)
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References

  • 2016Reducing uncertainty in demand for blood57 cited
  • 2017Artificial Neural Network Based Approach for Blood Demand Forecasting41 cited
  • 2018Towards a Smart City: Application of Optimization for a Smart Transportation Management System25 cited

Cited by

  • 2022Data-driven forecasting for operational planning of emergency medical services34 cited
  • 2024Technological advancements, digital transformation, and future trends in blood transfusion services7 cited

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