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Prediction of Red Blood Cell Demand for Pediatric Patients Using a Time-Series Model: A Single-Center Study in China
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Prediction of Red Blood Cell Demand for Pediatric Patients Using a Time-Series Model: A Single-Center Study in China (2022)Prediction of Red Blood Cell Demand for P…RBC Inventory-Management System Based on XGBoost Model (2020)RBC Inventory-Management Syst…Red blood cell use in Switzerland: trends and demographic challenges. (2018)Red blood cell use in Switzer…A population‐based longitudinal study on the implications of demographics on future blood supply (2016)A population‐based longitudin…Challenges in the management of the blood supply (2013)Challenges in the management …Forecasting Ontario's blood supply and demand (2011)Forecasting Ontario's blood s…A spatial regression analysis of German community characteristics associated with voluntary non‐remunerated blood donor rates (2011)A spatial regression analysis…Implications of demographics on future blood supply: a population‐based cross‐sectional study (2010)Implications of demographics …How much blood is needed? (2010)How much blood is needed?Demographic Changes: The Impact for Safe Blood Supply (2010)Demographic Changes: The Impa…Demographic changes and predicting blood supply and demand in the Netherlands (2010)Demographic changes and predi…Impact of demographic changes on the blood supply: Mecklenburg‐West Pomerania as a model region for Europe (2007)Impact of demographic changes…Autoregressive Integrated Moving Average (ARIMA) Models for Birth Forecasting (1977)Autoregressive Integrated Mov…AGE STANDARDIZATION OF RATES: A NEW WHO STANDARD (2000)BLOOD DONORS AND BLOOD COLLECTION: The aging population poses a global challenge for blood services (2009)Blood donors in E ngland and N orth W ales: demography and patterns of donation (2014)A population-based longitudinal study on the implication of demographic changes on blood donation and transfusion demand (2017)Population-based projections of blood supply and demand, China, 2017–2036 (2019)Understanding Canadian student motivations and beliefs about giving blood (2005)The consequences of temporary deferral on future whole blood donation (2007)Whole blood and apheresis donors in Quebec, Canada: Demographic differences and motivations to donate (2015)A multilateral perspective towards blood network design in an uncertain environment: Methodology and implementation (2019)Evaluation of the future supply and demand for blood products in the United Kingdom National Health Service (2004)Platelet ordering policies at hospitals using stochastic integer programming model and heuristic approaches to reduce wastage (2017)Who donates? Cross‐country and periodical variation in blood donor demographics in Europe between 1994 and 2014 (2017)Epidemiology of blood transfusion (1994)Biodemographic Trajectories of Longevity (1998)Broken Limits to Life Expectancy (2002)Factors that motivate and hinder blood donation in Greece (2007)Time Series Analysis Forecasting and Control. (1971)The Structure of Human Populations. (1973)Time Series Analysis: Forecasting and Control (1977)Short-Run Forecasting of Commodity Prices: An Application of Autoregressive Moving Average Models (Previsions a court terme des prix des produits de base: application de modeles autoregressifs de moyennes mobiles) (El pronostico a corto plazo de los precios de productos basicos: Aplicacion de modelos de media movil autorregresiva) (1978)On the Demography of Aging (1980)Multivariate Time Series Projections of Parameterized Age-Specific Fertility Rates (1989)World population ageing, 1950-2050 (2002)A typology of blood donor motivations (2020)Digital Natives, Digital Immigrants Part 2: Do They Really Think Differently? (2001)Do They Really Think Differently (2001)Digital Natives, Digital Immigrants (2012)The INTERVAL trial to determine whether intervals between blood donations can be safely and acceptably decreased to optimise blood supply: study protocol for a randomised controlled trial (2014)Developing a robust stochastic model for designing a blood supply chain network in a crisis: a possible earthquake in Tehran (2017)Impact of COVID‐19 on blood centres in Zhejiang province China (2020)Adverse Reactions to Allogeneic Whole Blood Donation by 16- and 17-Year-Olds (2008)Robust optimization model for integrated procurement, production and distribution in platelet supply chain (2017)A multi-stage stochastic programming approach for blood supply chain planning (2018)An enhanced procedure for managing blood supply chain under disruptions and uncertainties (2018)Motivational factors for blood donation in first‐time donors and repeat donors: a cross‐sectional study in West Pomerania (2017)Safety of blood donation by individuals over age 70 and their contribution to the blood supply in five developed countries: a BEST Collaborative group study (2019)Improving the donation experience and reducing venipuncture pain by addressing fears among whole‐blood and plasma donors (2021)Longitudinal Changes in the Blood Supply and Demand in North-East-Germany 2005-2015 (2017)Reasons to end the donor career: a quantitative study among stopped blood donors in the Netherlands (2017)Demand forecasting for platelet usage: From univariate time series to multivariable models (2024)
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References

  • 2013Challenges in the management of the blood supply238 cited
  • 2007Impact of demographic changes on the blood supply: Mecklenburg‐West Pomerania as a model region for Europe139 cited
  • 2010How much blood is needed?125 cited
  • 2010Implications of demographics on future blood supply: a population‐based cross‐sectional study124 cited
  • 1977Autoregressive Integrated Moving Average (ARIMA) Models for Birth Forecasting100 cited
  • 2010Demographic Changes: The Impact for Safe Blood Supply93 cited
  • 2011Forecasting Ontario's blood supply and demand91 cited
  • 2010Demographic changes and predicting blood supply and demand in the Netherlands58 cited
  • 2016A population‐based longitudinal study on the implications of demographics on future blood supply45 cited
  • 2018Red blood cell use in Switzerland: trends and demographic challenges.45 cited
  • 2011A spatial regression analysis of German community characteristics associated with voluntary non‐remunerated blood donor rates32 cited
  • 2020RBC Inventory-Management System Based on XGBoost Model19 cited

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