Cargando…

A machine learning analysis of correlates of mortality among patients hospitalized with COVID-19

It is vital to determine how patient characteristics that precede COVID-19 illness relate to COVID-19 mortality. This is a retrospective cohort study of patients hospitalized with COVID-19 across 21 healthcare systems in the US. All patients (N = 145,944) had COVID-19 diagnoses and/or positive PCR t...

Descripción completa

Detalles Bibliográficos
Autores principales:	Baker, Timothy B., Loh, Wei-Yin, Piasecki, Thomas M., Bolt, Daniel M., Smith, Stevens S., Slutske, Wendy S., Conner, Karen L., Bernstein, Steven L., Fiore, Michael C.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Nature Publishing Group UK 2023
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10007654/ https://www.ncbi.nlm.nih.gov/pubmed/36906638 http://dx.doi.org/10.1038/s41598-023-31251-1

Ejemplares similares

The Relationship of COVID-19 Vaccination with Mortality Among 86,732 Hospitalized Patients: Subpopulations, Patient Factors, and Changes over Time
por: Baker, Timothy B., et al.
Publicado: (2023)

Explaining COVID-19 related mortality disparities in American Indians and Alaska Natives
por: Slutske, Wendy S., et al.
Publicado: (2023)

Disordered gambling in a longitudinal birth cohort: from childhood precursors to adult life outcomes
por: Slutske, Wendy S., et al.
Publicado: (2023)

The first 20 months of the COVID-19 pandemic: Mortality, intubation and ICU rates among 104,590 patients hospitalized at 21 United States health systems
por: Fiore, Michael C., et al.
Publicado: (2022)

Machine learning to predict overall short-term mortality in cutaneous melanoma
por: Cozzolino, C., et al.
Publicado: (2023)

Smoking Cessation and the Risk of Diabetes Mellitus and Impaired Fasting Glucose: Three-Year Outcomes after a Quit Attempt
por: Stein, James H., et al.
Publicado: (2014)

Smoking Status, Nicotine Medication, Vaccination, and COVID-19 Hospital Outcomes: Findings from the COVID EHR Cohort at the University of Wisconsin (CEC-UW) Study
por: Piasecki, Thomas M, et al.
Publicado: (2022)

Demystifying machine learning for mortality prediction
por: Smit, J. M., et al.
Publicado: (2021)

Predicting ward transfer mortality with machine learning
por: Lezama, Jose L., et al.
Publicado: (2023)

Contextualizing prescription opioid misuse and heroin use within dimensional models of drug involvement
por: Dash, Genevieve F., et al.
Publicado: (2022)

Development, Validation, and Evaluation of a Simple Machine Learning Model to Predict Cirrhosis Mortality
por: Kanwal, Fasiha, et al.
Publicado: (2020)

Relations of Current and Past Cancer with Severe Outcomes among 104,590 Hospitalized COVID-19 Patients: The COVID EHR Cohort at the University of Wisconsin
por: Nolan, Margaret B., et al.
Publicado: (2023)

Machine learning assistive rapid, label-free molecular phenotyping of blood with two-dimensional NMR correlational spectroscopy
por: Peng, Weng Kung, et al.
Publicado: (2020)

Mortality Rates by Age Group and Intubation Status in Hospitalized Adult Patients From 21 United States Hospital Systems During Three Surges of the COVID-19 Pandemic
por: Nolan, Margaret B., et al.
Publicado: (2023)

Specificity in genetic and environmental risk for prescription opioid misuse and heroin use
por: Dash, Genevieve F., et al.
Publicado: (2023)

Predicting the Mortality of ICU Patients by Topic Model with Machine-Learning Techniques
por: Chiu, Chih-Chou, et al.
Publicado: (2022)

Satellite data and machine learning reveal a significant correlation between NO(2) and COVID-19 mortality
por: Amoroso, Nicola, et al.
Publicado: (2022)

Machine Learning for Mortality Prediction in Pediatric Myocarditis
por: Chou, Fu-Sheng, et al.
Publicado: (2021)

Machine learning approaches for the mortality risk assessment of patients undergoing hemodialysis
por: Yang, Cheng-Hong, et al.
Publicado: (2022)

Machine learning dislocation density correlations and solute effects in Mg-based alloys
por: Salmenjoki, H., et al.
Publicado: (2023)

Enhancing timeliness of drug overdose mortality surveillance: A machine learning approach
por: Ward, Patrick J., et al.
Publicado: (2019)

Machine learning and deep learning to predict mortality in patients with spontaneous coronary artery dissection
por: Krittanawong, Chayakrit, et al.
Publicado: (2021)

Machine Learning for Mortality Analysis in Patients with COVID-19
por: Sánchez-Montañés, Manuel, et al.
Publicado: (2020)

Interpretable machine learning prediction of all-cause mortality
por: Qiu, Wei, et al.
Publicado: (2022)

Machine learning prediction of mortality in Acute Myocardial Infarction
por: Oliveira, Mariana, et al.
Publicado: (2023)

Machine learning algorithms for predicting determinants of COVID-19 mortality in South Africa
por: Chimbunde, Emmanuel, et al.
Publicado: (2023)

Electrocardiogram-based mortality prediction in patients with COVID-19 using machine learning
por: van de Leur, R. R., et al.
Publicado: (2022)

A comparison of machine learning models versus clinical evaluation for mortality prediction in patients with sepsis
por: van Doorn, William P. T. M., et al.
Publicado: (2021)

A Maximal Correlation Framework for Fair Machine Learning
por: Lee, Joshua, et al.
Publicado: (2022)

The Bucket Approach: Developing and Implementing an On-line Training Program in Tobacco Dependence Interventions Tailored for Behavioral Health Clinicians
por: Christiansen, Bruce, et al.
Publicado: (2022)

Frontotemporal correlates of impulsivity and machine learning in retired professional athletes with a history of multiple concussions
por: Goswami, R., et al.
Publicado: (2015)

Characterising risk of in-hospital mortality following cardiac arrest using machine learning: A retrospective international registry study
por: Nanayakkara, Shane, et al.
Publicado: (2018)

Machine learning unifies the modeling of materials and molecules
por: Bartók, Albert P., et al.
Publicado: (2017)

Machine learning and network analysis for diagnosis and prediction in disorders of consciousness
por: Narayanan, Ajit, et al.
Publicado: (2023)

Seasonality of acute kidney injury phenotypes in England: an unsupervised machine learning classification study of electronic health records
por: Bolt, Hikaru, et al.
Publicado: (2023)

Machine-Learning Prediction of Capsular Contraction after Two-Stage Breast Reconstruction
por: Chen, Yunchan, et al.
Publicado: (2023)

Modeling second-order boundary perception: A machine learning approach
por: DiMattina, Christopher, et al.
Publicado: (2019)

Quantifying Chemical Structure and Machine‐Learned Atomic Energies in Amorphous and Liquid Silicon
por: Bernstein, Noam, et al.
Publicado: (2019)

Predicting open wound mortality in the ICU using machine learning
por: Akiki, Ronald K., et al.
Publicado: (2021)

Identifying Predictors of COVID-19 Mortality Using Machine Learning
por: Wan, Tsz-Kin, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_6v42uf0vvmdrde73stjffhmhio