Prediction models for diagnosis and prognosis of covid-19: systematic review and critical appraisal
Objective To review and appraise the validity and usefulness of published and preprint
reports of prediction models for prognosis of patients with covid-19, and for detecting people …
reports of prediction models for prognosis of patients with covid-19, and for detecting people …
COVID mortality prediction with machine learning methods: a systematic review and critical appraisal
More than a year has passed since the report of the first case of coronavirus disease 2019
(COVID), and increasing deaths continue to occur. Minimizing the time required for resource …
(COVID), and increasing deaths continue to occur. Minimizing the time required for resource …
Machine learning based clinical decision support system for early COVID-19 mortality prediction
The coronavirus disease 2019 (COVID-19), caused by the virus SARS-CoV-2, is an acute
respiratory disease that has been classified as a pandemic by the World Health …
respiratory disease that has been classified as a pandemic by the World Health …
COVID-19 mortality prediction in the intensive care unit with deep learning based on longitudinal chest X-rays and clinical data
Objectives We aimed to develop deep learning models using longitudinal chest X-rays
(CXRs) and clinical data to predict in-hospital mortality of COVID-19 patients in the intensive …
(CXRs) and clinical data to predict in-hospital mortality of COVID-19 patients in the intensive …
[HTML][HTML] Machine learning in the coagulation and hemostasis arena: an overview and evaluation of methods, review of literature, and future directions
HH Rashidi, KA Bowers, MR Gil - Journal of Thrombosis and Haemostasis, 2023 - Elsevier
Artificial Intelligence and machine-learning (ML) studies are increasingly populating the life
science space and some have also started to integrate certain clinical decision support …
science space and some have also started to integrate certain clinical decision support …
The accuracy of machine learning approaches using non-image data for the prediction of COVID-19: A meta-analysis
KM Kuo, PC Talley, CS Chang - International journal of medical informatics, 2022 - Elsevier
Objective COVID-19 is a novel, severely contagious disease with enormous negative impact
on humanity as well as the world economy. An expeditious, feasible tool for detecting COVID …
on humanity as well as the world economy. An expeditious, feasible tool for detecting COVID …
Artificial intelligence and discrete-event simulation for capacity management of intensive care units during the Covid-19 pandemic: a case study
The Covid-19 pandemic has pushed the Intensive Care Units (ICUs) into significant
operational disruptions. The rapid evolution of this disease, the bed capacity constraints, the …
operational disruptions. The rapid evolution of this disease, the bed capacity constraints, the …
Testing the applicability and performance of Auto ML for potential applications in diagnostic neuroradiology
M Musigmann, BH Akkurt, H Krähling, NG Nacul… - Scientific reports, 2022 - nature.com
To investigate the applicability and performance of automated machine learning (AutoML)
for potential applications in diagnostic neuroradiology. In the medical sector, there is a …
for potential applications in diagnostic neuroradiology. In the medical sector, there is a …
BACS: blockchain and AutoML-based technology for efficient credit scoring classification
F Yang, Y Qiao, Y Qi, J Bo, X Wang - Annals of Operations Research, 2022 - Springer
Credit evaluation is of high scientific significance and practical use, especially in today's
plight of the world suffering from the COVID-19 epidemic. However, due to the difficulties …
plight of the world suffering from the COVID-19 epidemic. However, due to the difficulties …
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 …
COVID-19 mortality. This is a retrospective cohort study of patients hospitalized with COVID …