Cargando…

Predicting COVID-19 mortality risk in Toronto, Canada: a comparison of tree-based and regression-based machine learning methods

BACKGROUND: Coronavirus disease (COVID-19) presents an unprecedented threat to global health worldwide. Accurately predicting the mortality risk among the infected individuals is crucial for prioritizing medical care and mitigating the healthcare system’s burden. The present study aimed to assess th...

Descripción completa

Detalles Bibliográficos
Autores principales:	Feng, Cindy, Kephart, George, Juarez-Colunga, Elizabeth
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2021
Materias:	Research
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8627169/ https://www.ncbi.nlm.nih.gov/pubmed/34837951 http://dx.doi.org/10.1186/s12874-021-01441-4

Ejemplares similares

Spatial-temporal generalized additive model for modeling COVID-19 mortality risk in Toronto, Canada
por: Feng, Cindy
Publicado: (2022)

Ontario Veterinary College, Toronto, Canada
Publicado: (1888)

Ontario Veterinary Association, Toronto, Canada
por: Sweetapple, C. H.
Publicado: (1896)

Ontario Veterinary College, Toronto, Canada
Publicado: (1894)

The Ontario Veterinary College, Toronto, Canada
Publicado: (1890)

Comparison of the Tree-Based Machine Learning Algorithms to Cox Regression in Predicting the Survival of Oral and Pharyngeal Cancers: Analyses Based on SEER Database
por: Du, Mi, et al.
Publicado: (2020)

Open data and injuries in urban areas—A spatial analytical framework of Toronto using machine learning and spatial regressions
por: Vaz, Eric, et al.
Publicado: (2021)

The Bayesian Additive Regression Trees Formula for Safe Machine Learning-Based Intraocular Lens Predictions
por: Clarke, Gerald P., et al.
Publicado: (2020)

A Cohort Study of Traffic-Related Air Pollution and Mortality in Toronto, Ontario, Canada
por: Jerrett, Michael, et al.
Publicado: (2009)

Critical Care Canada Forum 2008, 11–13 November 2008, Toronto, Ontario, Canada
por: Wilcox, M Elizabeth, et al.
Publicado: (2009)

The Toronto declaration on bridging knowledge, policy and practice in aging and disability: Toronto, Canada, March 30, 2012
por: Bickenbach, Jerome, et al.
Publicado: (2012)

SARS Control and Psychological Effects of Quarantine, Toronto, Canada
por: Hull, Harry F.
Publicado: (2005)

SARS Control and Psychological Effects of Quarantine, Toronto, Canada
por: Hawryluck, Laura, et al.
Publicado: (2004)

A population-based study of premature mortality in relation to neighbourhood density of alcohol sales and cheque cashing outlets in Toronto, Canada
por: Matheson, Flora I, et al.
Publicado: (2014)

Variable selection in social-environmental data: sparse regression and tree ensemble machine learning approaches
por: Handorf, Elizabeth, et al.
Publicado: (2020)

Energy Solutions, Neo-Liberalism, and Social Diversity in Toronto, Canada
por: Teelucksingh, Cheryl, et al.
Publicado: (2011)

Helmet use in BIXI cyclists in Toronto, Canada: an observational study
por: Bonyun, Marissa, et al.
Publicado: (2012)

Ambient air pollution and emergency department visits in Toronto, Canada
por: Szyszkowicz, Mieczysław, et al.
Publicado: (2021)

Increased Mortality in Patients With Acutely Decompensated Heart Failure During the COVID-19 Pandemic in Toronto, Canada
por: Buchan, Tayler A., et al.
Publicado: (2022)

Active Tuberculosis among Homeless Persons, Toronto, Ontario, Canada, 1998–2007
por: Khan, Kamran, et al.
Publicado: (2011)

Pertussis resurgence in Toronto, Canada: a population-based study including test-incidence feedback modeling
por: Fisman, David N, et al.
Publicado: (2011)

Nature-based cooling potential: a multi-type green infrastructure evaluation in Toronto, Ontario, Canada
por: Anderson, Vidya, et al.
Publicado: (2021)

Eliciting critical hope in community-based HIV research with transgender women in Toronto, Canada: methodological insights
por: Logie, Carmen H, et al.
Publicado: (2022)

The Ontario Integrated Supervised Injection Services Cohort Study of People Who Inject Drugs in Toronto, Canada (OiSIS-Toronto): Cohort Profile
por: Scheim, Ayden I., et al.
Publicado: (2021)

8th Annual Toronto Critical Care Medicine Symposium, 30 October–1 November 2003, Toronto, Ontario, Canada
por: Granton, Jeff, et al.
Publicado: (2004)

Our Health Counts Toronto: using respondent-driven sampling to unmask census undercounts of an urban indigenous population in Toronto, Canada
por: Rotondi, Michael A, et al.
Publicado: (2017)

Spatiotemporal clusters and the socioeconomic determinants of COVID-19 in Toronto neighbourhoods, Canada
por: Nazia, Nushrat, et al.
Publicado: (2022)

Environmental Surface Contamination With Monkeypox Virus in the Ambulatory Setting in Toronto, Canada
por: Sukhdeo, Sharon, et al.
Publicado: (2022)

Unmet health needs and discrimination by healthcare providers among an Indigenous population in Toronto, Canada
por: Kitching, George Tjensvoll, et al.
Publicado: (2019)

Social, Clinical, and Behavioral Determinants of HIV Infection and HIV Testing among Black Men in Toronto, Ontario: A Classification and Regression Tree Analysis
por: Djiadeu, Pascal, et al.
Publicado: (2020)

Comparison of Regression and Machine Learning Methods in Depression Forecasting Among Home-Based Elderly Chinese: A Community Based Study
por: Lin, Shaowu, et al.
Publicado: (2022)

Density, Destinations or Both? A Comparison of Measures of Walkability in Relation to Transportation Behaviors, Obesity and Diabetes in Toronto, Canada
por: Glazier, Richard H., et al.
Publicado: (2014)

Equity in health services use and intensity of use in Canada
por: Asada, Yukiko, et al.
Publicado: (2007)

Comparison of risk models for mortality and cardiovascular events between machine learning and conventional logistic regression analysis
por: Suzuki, Shinya, et al.
Publicado: (2019)

Machine learning validation through decision tree analysis of the Epidemiology‐Based Mortality Score in Status Epilepticus
por: Brigo, Francesco, et al.
Publicado: (2022)

Service utilization patterns and characteristics among clients of integrated supervised consumption sites in Toronto, Canada
por: Nassau, Tanner, et al.
Publicado: (2022)

Comparison of neuron-based, kernel-based, tree-based and curve-based machine learning models for predicting daily reference evapotranspiration
por: Wu, Lifeng, et al.
Publicado: (2019)

Transparent Quality Optimization for Machine Learning-Based Regression in Neurology
por: Wendt, Karsten, et al.
Publicado: (2022)

Clinical characteristics and outcomes of multiple sclerosis patients with COVID-19 in Toronto, Canada
por: Solomon, Jacqueline M., et al.
Publicado: (2022)

Regression trees for predicting mortality in patients with cardiovascular disease: What improvement is achieved by using ensemble-based methods?
por: Austin, Peter C, et al.
Publicado: (2012)

Cannot write session to /tmp/vufind_sessions/sess_p3mrkl6ulbm063vl3gobptp4a6