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A fuzzy-based prediction approach for blood delivery using machine learning and genetic algorithm
4 references·0 citing·21 second hop
A fuzzy-based prediction approach for blood delivery using machine learning and genetic algorithm (2021)A fuzzy-based prediction approach for blo…Predicting Return Donor and Analyzing Blood Donation Time Series using Data Mining Techniques (2019)Predicting Return Donor and A…Survey of stock market prediction using machine learning approach (2017)Survey of stock market predic…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…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)Forecasting of weekly patient visits to emergency department: real case study (2019)Inventory Management using Machine Learning (2020)A structural equation model for big data adoption in the healthcare supply chain (2021)The Behavior of Stock-Market Prices (1965)Security Analysis and Portfolio Management. (1976)A systematic review of stock market prediction using machine learning and statistical techniques (2021)Stock market prediction using deep learning algorithms (2021)Machine learning approaches in stock market prediction: A systematic literature review (2023)Factors influencing donor return (2007)The blood donation experience: self‐reported motives and obstacles for donating blood (2007)Attitude to blood donation in Saudi Arabia (2011)Analyzing Blood Donation probabilities and number of possible donors (2020)Smart approaches for encouraging the blood donation (2022)
this work references cited by second hop

References

  • 2017Survey of stock market prediction using machine learning approach214 cited
  • 2016Reducing uncertainty in demand for blood57 cited
  • 2017Artificial Neural Network Based Approach for Blood Demand Forecasting41 cited
  • 2019Predicting Return Donor and Analyzing Blood Donation Time Series using Data Mining Techniques18 cited

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