Developing and validating a machine learning prognostic model for alerting to imminent deterioration of hospitalized patients with COVID-19

Y Kogan, A Robinson, E Itelman, Y Bar-Nur… - Scientific Reports, 2022 - nature.com
Our study was aimed at developing and validating a new approach, embodied in a machine
learning-based model, for sequentially monitoring hospitalized COVID-19 patients and …

Predicting SARS-CoV-2 infection duration at hospital admission: a deep learning solution

P Liuzzi, S Campagnini, C Fanciullacci… - Medical & Biological …, 2022 - Springer
COVID-19 cases are increasing around the globe with almost 5 million of deaths. We
propose here a deep learning model capable of predicting the duration of the infection by …

Understanding health care administrators' data and information needs for decision making during the COVID-19 pandemic: A qualitative study at an academic health …

C Guerrier, C McDonnell, T Magoc… - MDM Policy & …, 2022 - journals.sagepub.com
Objective. The COVID-19 pandemic created an unprecedented strain on the health care
system, and administrators had to make many critical decisions to respond appropriately …

CovRNN—A recurrent neural network model for predicting outcomes of COVID-19 patients: model development and validation using EHR data

L Rasmy, M Nigo, BS Kannadath, Z Xie, B Mao, K Patel… - medRxiv, 2021 - medrxiv.org
Background Predicting outcomes of COVID-19 patients at an early stage is critical for
optimized clinical care and resource management, especially during a pandemic. Although …

Disease-course adapting machine learning prognostication models in critically ill elderly COVID-19 patients: a multi-centre cohort study with external validation

C Jung, B Mamandipoor, J Fjølner, R Bruno… - JMIR Medical …, 2022 - cris.fbk.eu
Background: The SARS-CoV-2 coronavirus disease (COVID-19) pandemic is challenging
health care systems globally. The disease disproportionately affects the elderly population …

[HTML][HTML] The strong predictive role and their day-dependent behavior of blood urea nitrogen and complete blood count in covid-19's inpatients prognosis

M Fayaz, V Tajari, MH Taziki Balajelini… - Medical Laboratory …, 2024 - goums.ac.ir
Background: The outcome of hospitalized COVID-19 patients is predictable according to
demographic, clinical, laboratory, and imaging risk factors. We aimed to determine the best …

[HTML][HTML] Comparison of the Performance of Various Scores in Predicting Mortality Among Patients Hospitalized With COVID-19

D Jilanee, S Khan, SMH Shah, NMA Capriles… - Cureus, 2021 - ncbi.nlm.nih.gov
Results Overall, 835 patients were included in the final analysis. The mean age of patients
was 53.29 (SD±15.17) years, and 675 patients (80.72%) were males. The sensitivity of the …

[PDF][PDF] Risk, Relevance and Roadmap for Sustainable Prognosis Model of COVID-19

A Mishra, SK Shukla, S Patra, S Tripathi, A Tiwari - Authorea Preprints, 2023 - authorea.com
Purpose: The understanding of host susceptibility, clinical features, variants risks, and
asymptomatic infection complexity is challenging in making sustainable prognosis models …

Evidências na COVID-19: atenção primária, telessaúde e atenção hospitalar

CCR Cimini - 2022 - pesquisa.bvsalud.org
Objetivos: O presente trabalho possui dois objetivos principais. Objetivo 1 Avaliar o impacto
da pandemia da COVID-19 em uma coorte de pessoas com hipertensão e diabetes na …

Validación de escalas de predicción de mortalidad en pacientes con enfermedad por coronavirus 2019 en el registro de pacientes rescate COVID19

CA Ruiz Bedoya - 2021 - repository.unab.edu.co
Introducción: La pandemia causada por la enfermedad por coronavirus 2019 (COVID-19)
ha revelado la necesidad de optimizar los recursos en salud. Las herramientas que …