[HTML][HTML] Prognostic assessment of COVID-19 in the intensive care unit by machine learning methods: model development and validation

P Pan, Y Li, Y Xiao, B Han, L Su, M Su, Y Li… - Journal of medical …, 2020 - jmir.org
Background Patients with COVID-19 in the intensive care unit (ICU) have a high mortality
rate, and methods to assess patients' prognosis early and administer precise treatment are …

Machine and deep learning algorithms for COVID-19 mortality prediction using clinical and radiomic features

L Verzellesi, A Botti, M Bertolini, V Trojani, G Carlini… - Electronics, 2023 - mdpi.com
Aim: Machine learning (ML) and deep learning (DL) predictive models have been employed
widely in clinical settings. Their potential support and aid to the clinician of providing an …

Utilidad de la primera analítica de urgencias realizada en pacientes con COVID-19 como predictora de mortalidad (PMCovid Score): e202110144

AB García-Ruano, S García-Chileme… - Revista Española de …, 2021 - ojs.sanidad.gob.es
Fundamentos: La pandemia por COVID-19 ha generado una alta demanda de recursos
hospitalarios llevando al límite al sistema nacional de salud. Es por ello que para reducir …

Comparación de Algoritmos Machine Learning para la Predicción de Pacientes con Sospecha de COVID-19

D Andrade-Girón, E Carreño-Cisneros… - Salud, Ciencia y …, 2023 - revista.saludcyt.ar
El brote de la enfermedad por coronavirus (COVID-19) ha infectado a millones de personas,
ocasionando una elevada tasa de mortalidad en todo el mundo. Los pacientes con …

COVID-19 mortality prediction using deep neural networks

A García Zendejas - repositorio.tec.mx
COVID-19 disease caused by the virus SARS-CoV2 appeared in Wuhan China in 2019, in
March 11th 2020 it was declared a global pandemics, taking by March 2022 over 5,783,700 …

[HTML][HTML] Escala pronóstica para mortalidad intrahospitalaria en pacientes con neumonía viral COVID-19

CJ Molina-Pérez, MG Berumen-Lechuga… - Revista Médica del …, 2023 - ncbi.nlm.nih.gov
Objetivo: proponer una escala pronóstica para estratificar a los pacientes con neumonía
viral por COVID-19 en los servicios de urgencias de los hospitales de segundo nivel …

Machine learning algorithms for predicting determinants of COVID-19 mortality in South Africa

E Chimbunde, LN Sigwadhi, JL Tamuzi… - Frontiers in Artificial …, 2023 - frontiersin.org
Background COVID-19 has strained healthcare resources, necessitating efficient
prognostication to triage patients effectively. This study quantified COVID-19 risk factors and …

[HTML][HTML] Accuracy of machine learning models to predict mortality in COVID-19 infection using the clinical and laboratory data at the time of admission

M Tabatabaie, AH Sarrami, M Didehdar, B Tasorian… - Cureus, 2021 - ncbi.nlm.nih.gov
Aim This study aimed to develop a predictive model to predict patients' mortality with
coronavirus disease 2019 (COVID-19) from the basic medical data on the first day of …

Early risk assessment for COVID-19 patients from emergency department data using machine learning

FS Heldt, MP Vizcaychipi, S Peacock, M Cinelli… - Scientific reports, 2021 - nature.com
Since its emergence in late 2019, the severe acute respiratory syndrome coronavirus 2
(SARS-CoV-2) has caused a pandemic with more than 55 million reported cases and 1.3 …

[HTML][HTML] A machine learning approach for mortality prediction in COVID-19 pneumonia: development and evaluation of the Piacenza score

G Halasz, M Sperti, M Villani, U Michelucci… - Journal of Medical …, 2021 - jmir.org
Background Several models have been developed to predict mortality in patients with
COVID-19 pneumonia, but only a few have demonstrated enough discriminatory capacity …