An overview of forecast analysis with ARIMA models during the COVID-19 pandemic: Methodology and case study in Brazil
This comprehensive overview focuses on the issues presented by the pandemic due to
COVID-19, understanding its spread and the wide-ranging effects of government-imposed …
COVID-19, understanding its spread and the wide-ranging effects of government-imposed …
Artificial Intelligence for Complex Network: Potential, Methodology and Application
Complex networks pervade various real-world systems, from the natural environment to
human societies. The essence of these networks is in their ability to transition and evolve …
human societies. The essence of these networks is in their ability to transition and evolve …
Regulating artificial intelligence and machine learning-enabled medical devices in Europe and the United Kingdom
Recent achievements in respect of Artificial Intelligence (AI) open up opportunities for new
algorithmic tools developed to assist medical diagnosis and care delivery, such as diagnosis …
algorithmic tools developed to assist medical diagnosis and care delivery, such as diagnosis …
An epidemiological analysis for assessing and evaluating COVID-19 based on data analytics in Latin American countries
Simple Summary In this research, we investigate the COVID-19 spread in Latin American
countries using time-series and epidemic models. We highlight the diverse outbreak …
countries using time-series and epidemic models. We highlight the diverse outbreak …
Inference Based on the Stochastic Expectation Maximization Algorithm in a Kumaraswamy Model with an Application to COVID-19 Cases in Chile
J Figueroa-Zúñiga, JG Toledo, B Lagos-Alvarez… - Mathematics, 2023 - mdpi.com
Extensive research has been conducted on models that utilize the Kumaraswamy
distribution to describe continuous variables with bounded support. In this study, we …
distribution to describe continuous variables with bounded support. In this study, we …
A dynamic ensemble model for short-term forecasting in pandemic situations
J Botz, D Valderrama, J Guski… - PLOS Global Public …, 2024 - journals.plos.org
During the COVID-19 pandemic, many hospitals reached their capacity limits and could no
longer guarantee treatment of all patients. At the same time, governments endeavored to …
longer guarantee treatment of all patients. At the same time, governments endeavored to …
SEIHRS_gv 模型——基于短期数据预测流行性感冒样病例疫情流行趋势
金鑫， 于静波， 崔爽爽， 王岩， 于浩 - 中华疾病控制杂志, 2024 - zhjbkz.ahmu.edu.cn
目的利用天津市流行性感冒(简称流感) 样病例(influenza-like illness, ILI) 监测数据, 开发ILI
疫情流行趋势预测模型; 量化评估疫情防控措施对ILI 产生的医疗负担影响. 方法选取2023 年11 …
疫情流行趋势预测模型; 量化评估疫情防控措施对ILI 产生的医疗负担影响. 方法选取2023 年11 …
Machine Learning for Prediction of Postoperative Delirium in Adult Patients: A Systematic Review and Meta-analysis
H Chen, D Yu, J Zhang, J Li - Clinical Therapeutics, 2024 - Elsevier
Purpose This meta-analysis aimed to evaluate the performance of machine learning (ML)
models in predicting postoperative delirium (POD) and to provide guidance for clinical …
models in predicting postoperative delirium (POD) and to provide guidance for clinical …
[PDF][PDF] A dynamic ensemble model for short-term forecasting in pandemic situations. PLOS Glob Public Health 4 (8): e0003058
J Botz, D Valderrama, J Guski, H Fröhlich - 2024 - publica-rest.fraunhofer.de
During the COVID-19 pandemic, many hospitals reached their capacity limits and could no
longer guarantee treatment of all patients. At the same time, governments endeavored to …
longer guarantee treatment of all patients. At the same time, governments endeavored to …
An epidemiological analysis for assessing and evaluating COVID-19 based on data analytics in latin American countries
In this research, we investigate the COVID-19 spread in Latin American countries using time-
series and epidemic models. We highlight the diverse outbreak patterns and the crucial role …
series and epidemic models. We highlight the diverse outbreak patterns and the crucial role …