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Improved long‐term time‐series predictions of total blood use data from England
16 references·0 citing·37 second hop
Improved long‐term time‐series predictions of total blood use data from England (2020)Improved long‐term time‐series prediction…Population-based projections of blood supply and demand, China, 2017–2036 (2019)Population-based projections …A population-based longitudinal study on the implication of demographic changes on blood donation and transfusion demand (2017)A population-based longitudin…A population‐based longitudinal study on the implications of demographics on future blood supply (2016)A population‐based longitudin…Financial Time Series (2014)Financial Time SeriesChallenges in the management of the blood supply (2013)Challenges in the management …Applied Econometric Time Series, Walter Enders, Hoboken, NJ: Wiley, 2010, treće izdanje, 531 str. (2012)Applied Econometric Time Seri…Natural Time Analysis: The New View of Time (2011)Natural Time Analysis: The Ne…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…Neural network forecasting for seasonal and trend time series (2003)Neural network forecasting fo…Recognizing changing seasonal patterns using artificial neural networks (1997)Recognizing changing seasonal…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)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)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)World population ageing, 1950-2050 (2002)A typology of blood donor motivations (2020)Time Series Analysis: Forecasting and Control (1977)The accuracy of extrapolation (time series) methods: Results of a forecasting competition (1982)Forecasting with artificial neural networks: (1998)An artificial neural network (p,d,q) model for timeseries forecasting (2009)An Empirical Comparison of Machine Learning Models for Time Series Forecasting (2010)Forecasting: theory and practice (2022)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)Seasonal Cycles in Crime, and Their Variability (2011)The Nonlinear Relationship between Terrorism and Poverty (2012)The Impact of Natural Disasters on Stock Markets: Evidence from Japan and the US (2013)Natural time analysis of critical phenomena: The case of acoustic emissions in triaxially deformed Etna basalt (2013)Prediction paradigm involving time series applied to total blood issues data from England (2020)Blood Donation across the Life Course: The Influence of Life Events on Donor Lapse (2019)Blood Donation Fear, Perceived Rewards, Self-Efficacy, and Intention to Return Among Whole Blood Donors in China: A Social Cognitive Perspective (2021)The clinical demand and supply of blood in India: A National level estimation study (2022)
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References

  • 2003Neural network forecasting for seasonal and trend time series987 cited
  • 2011Natural Time Analysis: The New View of Time301 cited
  • 2013Challenges in the management of the blood supply238 cited
  • 2012Applied Econometric Time Series, Walter Enders, Hoboken, NJ: Wiley, 2010, treće izdanje, 531 str.160 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
  • 2010Demographic Changes: The Impact for Safe Blood Supply93 cited
  • 2011Forecasting Ontario's blood supply and demand91 cited
  • 2017A population-based longitudinal study on the implication of demographic changes on blood donation and transfusion demand74 cited
  • 1997Recognizing changing seasonal patterns using artificial neural networks71 cited
  • 2010Demographic changes and predicting blood supply and demand in the Netherlands58 cited
  • 2019Population-based projections of blood supply and demand, China, 2017–203655 cited
  • 2016A population‐based longitudinal study on the implications of demographics on future blood supply45 cited
  • 2014

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Financial Time Series
36 cited
  • 2011A spatial regression analysis of German community characteristics associated with voluntary non‐remunerated blood donor rates32 cited
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