Cargando…

Regressive Class Modelling for Predicting Trajectories of COVID-19 Fatalities Using Statistical and Machine Learning Models

The COVID-19 (SARS-CoV-2 virus) pandemic has led to a substantial loss of human life worldwide by providing an unparalleled challenge to the public health system. The economic, psychological, and social disarray generated by the COVID-19 pandemic is devastating. Public health experts and epidemiolog...

Descripción completa

Detalles Bibliográficos
Autores principales:	Chowdhury, Rafiqul I., Hasan, M. Tariqul, Sneddon, Gary
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Springer Nature Singapore 2022
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9005342/ https://www.ncbi.nlm.nih.gov/pubmed/35431363 http://dx.doi.org/10.1007/s40840-022-01287-z

Ejemplares similares

A comparison of machine learning algorithms and traditional regression-based statistical modeling for predicting hypertension incidence in a Canadian population
por: Chowdhury, Mohammad Ziaul Islam, et al.
Publicado: (2023)

4P Model for Dynamic Prediction of COVID-19: a Statistical and Machine Learning Approach
por: Hasan, Khandaker Tabin, et al.
Publicado: (2021)

Predicting COVID-19 statistics using machine learning regression model: Li-MuLi-Poly
por: Singh, Hari, et al.
Publicado: (2021)

A generalized right truncated bivariate Poisson regression model with applications to health data
por: Islam, M. Ataharul, et al.
Publicado: (2017)

A machine learning one-class logistic regression model to predict stemness for single cell transcriptomics and spatial omics
por: Dezem, Felipe Segato, et al.
Publicado: (2023)

Prediction of hypertension using traditional regression and machine learning models: A systematic review and meta-analysis
por: Chowdhury, Mohammad Ziaul Islam, et al.
Publicado: (2022)

Marine Data Prediction: An Evaluation of Machine Learning, Deep Learning, and Statistical Predictive Models
por: Ali, Ahmed, et al.
Publicado: (2021)

Statistical Modelling and Regression Structures
por: Kneib, Thomas, et al.
Publicado: (2010)

Regression: Linear Models in Statistics
por: Bingham, N H, et al.
Publicado: (2010)

Blood Uric Acid Prediction With Machine Learning: Model Development and Performance Comparison
por: Sampa, Masuda Begum, et al.
Publicado: (2020)

Predictive analytical model for ectopic pregnancy diagnosis: Statistics vs. machine learning
por: Rueangket, Ploywarong, et al.
Publicado: (2022)

Predicting survival of advanced laryngeal squamous cell carcinoma: comparison of machine learning models and Cox regression models
por: Zhang, Yi-Fan, et al.
Publicado: (2023)

Functional Outcome Prediction in Ischemic Stroke: A Comparison of Machine Learning Algorithms and Regression Models
por: Alaka, Shakiru A., et al.
Publicado: (2020)

The Performance of Different Machine Learning Algorithm and Regression Models in Predicting High-Grade Intracranial Meningioma
por: Teng, Haibo, et al.
Publicado: (2023)

Model-free tracking control of complex dynamical trajectories with machine learning
por: Zhai, Zheng-Meng, et al.
Publicado: (2023)

Statistical quantification of confounding bias in machine learning models
por: Spisak, Tamas
Publicado: (2022)

Modelling and forecasting new cases of Covid-19 in Nigeria: Comparison of regression, ARIMA and machine learning models
por: Busari, S.I., et al.
Publicado: (2022)

Quantitative prediction of mouse class I MHC peptide binding affinity using support vector machine regression (SVR) models
por: Liu, Wen, et al.
Publicado: (2006)

Statistics for data science: leverage the power of statistics for data analysis, classification, regression, machine learning, and neural networks
por: Miller, James D
Publicado: (2017)

Gaussian Process Regression for Predictive But Interpretable Machine Learning Models: An Example of Predicting Mental Workload across Tasks
por: Caywood, Matthew S., et al.
Publicado: (2017)

Machine learning vs. conventional statistical models for predicting heart failure readmission and mortality
por: Shin, Sheojung, et al.
Publicado: (2020)

Essential statistics, regression, and econometrics
por: Smith, Gary
Publicado: (2012)

Framework to construct and interpret latent class trajectory modelling
por: Lennon, Hannah, et al.
Publicado: (2018)

Comparing Logistic Regression Models with Alternative Machine Learning Methods to Predict the Risk of Drug Intoxication Mortality
por: Choi, YoungJin, et al.
Publicado: (2020)

Machine Learning Algorithms are Superior to Conventional Regression Models in Predicting Risk Stratification of COVID-19 Patients
por: Ye, Jiru, et al.
Publicado: (2021)

Statistical regression modeling with R: longitudinal and multi-level modeling
por: Chen, Ding-Geng (Din), et al.
Publicado: (2021)

A combination of ridge and Liu regressions for extreme learning machine
por: Yıldırım, Hasan, et al.
Publicado: (2022)

Performance evaluation of regression models for COVID-19: A statistical and predictive perspective
por: Khan, Mohammad Ayoub, et al.
Publicado: (2022)

Statistical approaches to identifying significant differences in predictive performance between machine learning and classical statistical models for survival data
por: Nasejje, Justine B., et al.
Publicado: (2022)

Machine learning and statistical models for analyzing multilevel patent data
por: Qi, Sunyun, et al.
Publicado: (2023)

Applicability of machine learning in modeling of atmospheric particle pollution in Bangladesh
por: Shahriar, Shihab Ahmad, et al.
Publicado: (2020)

An AI-Application-Oriented In-Class Teaching Evaluation Model by Using Statistical Modeling and Ensemble Learning †
por: Guo, Junqi, et al.
Publicado: (2021)

Predictive models in SMA II natural history trajectories using machine learning: A proof of concept study
por: Coratti, Giorgia, et al.
Publicado: (2022)

Latent trajectories of frailty and risk prediction models among geriatric community dwellers: an interpretable machine learning perspective
por: Wu, Yafei, et al.
Publicado: (2022)

Learn R for applied statistics: with data visualizations, regressions, and statistics
por: Hui, Eric Goh Ming
Publicado: (2019)

Learn R for applied statistics: with data visualizations, regressions, and statistics
por: Hui, Eric Goh Ming
Publicado: (2018)

Machine Learning Does Not Improve Humeral Torsion Prediction Compared to Regression in Baseball Pitchers
por: Bullock, Garrett S, et al.
Publicado: (2022)

Statistical and Machine-Learning Data Mining: Techniques for Better Predictive Modeling and Analysis of Big Data
por: Ratner, Bruce
Publicado: (2011)

Machine learning modeling techniques and statistical projections to predict the outbreak of COVID-19 with implication to India
por: Anne, W. Regis, et al.
Publicado: (2022)

Comparisons of the prediction models for undiagnosed diabetes between machine learning versus traditional statistical methods
por: Choi, Seong Gyu, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_mcbosbiqkaekrb0a03tbn9c89o