Tracking machine learning models for pandemic scenarios: a systematic review of machine learning models that predict local and global evolution of pandemics
MB Palermo, LM Policarpo, CA Costa… - … Modeling Analysis in …, 2022 - Springer
This systematic review aims to study and classify machine learning models that predict
pandemics' evolution within affected regions or countries. The advantage of this systematic …
pandemics' evolution within affected regions or countries. The advantage of this systematic …
Spatial-temporal analysis of hepatitis E in Hainan Province, China (2013-2022): insights from four major hospitals
Z Yun, P Li, J Wang, F Lin, W Li, M Weng… - Frontiers in Public …, 2024 - frontiersin.org
Objective Exploring the Incidence, Epidemic Trends, and Spatial Distribution Characteristics
of Sporadic Hepatitis E in Hainan Province from 2013 to 2022 through four major tertiary …
of Sporadic Hepatitis E in Hainan Province from 2013 to 2022 through four major tertiary …
A novel honey badger algorithm with multilayer perceptron for predicting COVID-19 time series data
SN Qasem - The Journal of Supercomputing, 2024 - Springer
The COVID-19 pandemic has affected the health, economy, and all aspects of human lives
around the world. Accurate prediction of the daily new cases of COVID-19 is critical for …
around the world. Accurate prediction of the daily new cases of COVID-19 is critical for …
Exploration of COVID-19 data in Malaysia through mapper graph
Huge amounts of data have been collected from various sources during the COVID-19
pandemic, providing a unique opportunity for analysis, data-driven modelling, and machine …
pandemic, providing a unique opportunity for analysis, data-driven modelling, and machine …
Impact of socioeconomic determinants on the speed of epidemic diseases: a comparative analysis
We study the impact of socioeconomic factors on two key parameters of epidemic dynamics.
Specifically, we investigate a parameter capturing the rate of deceleration at the very start of …
Specifically, we investigate a parameter capturing the rate of deceleration at the very start of …
基于EMD 和CatBoost 算法的改进时间序列模型——以大连市PM2. 5 预测为例
赵凌霄， 李智扬， 屈磊磊 - 南京林业大学学报(自然科学版), 2024 - nldxb.njfu.edu.cn
[目的] 解决传统大气PM 2.5 浓度时序预测时精度较低问题, 减少PM 2.5 时间序列的非线性,
高噪声, 不平稳与波动性对预测的影响, 从而更精确地预测PM 2.5 浓度.[方法] 以2014 年1 月1 …
高噪声, 不平稳与波动性对预测的影响, 从而更精确地预测PM 2.5 浓度.[方法] 以2014 年1 月1 …
Integration models of demand forecasting and inventory control for coconut sugar using the ARIMA and EOQ modification methods
S Wardah, N Nurhasanah… - Jurnal Sistem dan …, 2023 - eprints.uai.ac.id
Inventory control is critical because the inability to overcome inventory problems causes
unpreparedness to meet consumer demand. MSMEs Bekawan Agro Coconut Sugar …
unpreparedness to meet consumer demand. MSMEs Bekawan Agro Coconut Sugar …
Proposing and Optimizing COVID-19 Predictions: A Comprehensive Ensemble Approach for Time Series Forecasting in India
Abstract The novel coronavirus (COVID-19) has devastated millions of people and is a major
threat to world health. The world economy was severely disrupted, millions of people died …
threat to world health. The world economy was severely disrupted, millions of people died …
Application of Autoregressive Moving Average Model in the Prediction of COVID-19 of China
Z Jiangping, S LiuQian, X Hongying… - Asian Journal of …, 2022 - eprint.subtopublish.com
Objective: To establish ARIMA model through time series analysis to understand the
occurrence law of newly confirmed cases of novel coronavirus pneumonia and provide …
occurrence law of newly confirmed cases of novel coronavirus pneumonia and provide …
[PDF][PDF] Clinical Immunology Communications
Y Takefuji, J Toyokura - Clinical Immunology, 2023 - neuro.musashino-u.ac.jp
Goal of health policies is to protect and promote the health of communities. We examined
COVID-19 policy outcomes of the 50 US states according to policymaker assumptions over …
COVID-19 policy outcomes of the 50 US states according to policymaker assumptions over …