Methods, Challenges, and Practical Issues of COVID-19 Projection: A Data Science Perspective-Reference-Cited by-同舟云学术

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Methods, Challenges, and Practical Issues of COVID-19 Projection: A Data Science Perspective

Published:2021 Issue: Volume: Page:219-242
ISSN:1680-743X
Container-title:Journal of Data Science
language:en
Short-container-title:

Author:

Kim Myungjin,Gu Zhiling,Yu Shan,Wang Guannan,Wang Li

Publisher

School of Statistics, Renmin University of China

Subject

Industrial and Manufacturing Engineering

Reference71 articles.

1. Prediction and analysis of COVID-19 positive cases using deep learning models: A descriptive case study of India;Chaos, Solitons & Fractals,2020

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1. COVID-19 Patient Volume Prediction Using Time Series Modeling;Lecture Notes in Management and Industrial Engineering;2024

2. Simultaneous Confidence Band Approach for Comparison of COVID-19 Case Counts;Statistics in Biosciences;2023-03-07

3. An ensemble learning strategy for panel time series forecasting of excess mortality during the COVID-19 pandemic;Applied Soft Computing;2022-10

4. Health Data Science and Semantic Technologies;Data Science with Semantic Technologies;2022-09-15

5. An Ensemble Learning Strategy for Panel Time Series Forecasting of Excess Mortality During the COVID-19 Pandemic;SSRN Electronic Journal;2022

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