Prognostic models in COVID-19 infection that predict severity: a systematic review
Current evidence on COVID-19 prognostic models is inconsistent and clinical applicability
remains controversial. We performed a systematic review to summarize and critically …
remains controversial. We performed a systematic review to summarize and critically …
A review on interpretable and explainable artificial intelligence in hydroclimatic applications
This review focuses on the use of Interpretable Artificial Intelligence (IAI) and eXplainable
Artificial Intelligence (XAI) models for data imputations and numerical or categorical …
Artificial Intelligence (XAI) models for data imputations and numerical or categorical …
Age is the main determinant of COVID-19 related in-hospital mortality with minimal impact of pre-existing comorbidities, a retrospective cohort study
M Henkens, AG Raafs, JAJ Verdonschot, M Linschoten… - BMC geriatrics, 2022 - Springer
Background Age and comorbidities increase COVID-19 related in-hospital mortality risk, but
the extent by which comorbidities mediate the impact of age remains unknown. Methods In …
the extent by which comorbidities mediate the impact of age remains unknown. Methods In …
Neurological and (neuro) psychological sequelae in intensive care and general ward COVID‐19 survivors
S Klinkhammer, J Horn, AA Duits… - European journal of …, 2023 - Wiley Online Library
Background and purpose Coronavirus disease 2019 (COVID‐19) affects the brain, leading
to long‐term complaints. Studies combining brain abnormalities with objective and …
to long‐term complaints. Studies combining brain abnormalities with objective and …
Integrative plasma metabolic and lipidomic modelling of SARS-CoV-2 infection in relation to clinical severity and early mortality prediction
An integrative multi-modal metabolic phenotyping model was developed to assess the
systemic plasma sequelae of SARS-CoV-2 (rRT-PCR positive) induced COVID-19 disease …
systemic plasma sequelae of SARS-CoV-2 (rRT-PCR positive) induced COVID-19 disease …
Mortality and readmission rates among hospitalized COVID-19 patients with varying stages of chronic kidney disease: a multicenter retrospective cohort
B Appelman, JJ Oppelaar, L Broeders, WJ Wiersinga… - Scientific reports, 2022 - nature.com
Chronic kidney disease (CKD) has been recognized as a highly prevalent risk factor for both
the severity of coronavirus disease 2019 (COVID-19) and COVID-19 associated adverse …
the severity of coronavirus disease 2019 (COVID-19) and COVID-19 associated adverse …
Artificial intelligence-driven prediction of COVID-19-related hospitalization and death: a systematic review
Aim To perform a systematic review on the use of Artificial Intelligence (AI) techniques for
predicting COVID-19 hospitalization and mortality using primary and secondary data …
predicting COVID-19 hospitalization and mortality using primary and secondary data …
[HTML][HTML] Mortality prediction of COVID-19 patients using soft voting classifier
COVID-19 is a novel coronavirus that spread around the globe with the initial reports coming
from Wuhan, China, turned into a pandemic and caused enormous casualties. Various …
from Wuhan, China, turned into a pandemic and caused enormous casualties. Various …
[HTML][HTML] Extremely missing numerical data in Electronic Health Records for machine learning can be managed through simple imputation methods considering …
Abstract Background and objective Reusing Electronic Health Records (EHRs) for Machine
Learning (ML) leads on many occasions to extremely incomplete and sparse tabular …
Learning (ML) leads on many occasions to extremely incomplete and sparse tabular …
Machine learning-based derivation and external validation of a tool to predict death and development of organ failure in hospitalized patients with COVID-19
COVID-19 mortality risk stratification tools could improve care, inform accurate and rapid
triage decisions, and guide family discussions regarding goals of care. A minority of COVID …
triage decisions, and guide family discussions regarding goals of care. A minority of COVID …