George Lăzăroiu
T Gedeon, E Rogalska, M Andronie, KF Michalikova… - ceeol.com
Research background: Deep and machine learning-based algorithms can assist in COVID-
19 image-based medical diagnosis and symptom tracing, optimize intensive care unit …
19 image-based medical diagnosis and symptom tracing, optimize intensive care unit …
The economics of deep and machine learning-based algorithms for COVID-19 prediction, detection, and diagnosis shaping the organizational management of …
G Lăzăroiu, T Gedeon, E Rogalska… - Oeconomia …, 2024 - journals.economic-research.pl
Research background: Deep and machine learning-based algorithms can assist in COVID-
19 image-based medical diagnosis and symptom tracing, optimize intensive care unit …
19 image-based medical diagnosis and symptom tracing, optimize intensive care unit …
Progress and prospects for artificial intelligence in clinical practice: learning from COVID-19
Machine learning, deep learning, and artificial intelligence are terms that have made their
way into nearly all areas of medicine. Whereas these methods have accelerated progress in …
way into nearly all areas of medicine. Whereas these methods have accelerated progress in …
ICU admission medical triage of COVID19 patients using Artificial Intelligence
CB Rjeily, JG Mattar, W Hleihel… - 2023 IEEE 4th …, 2023 - ieeexplore.ieee.org
The advent of the SARS-CoV-2 virus precipitated a global pandemic, ushering in profound
challenges for public health worldwide. Within this dynamic landscape, the realm of COVID …
challenges for public health worldwide. Within this dynamic landscape, the realm of COVID …
Multisite implementation of a workflow-integrated machine learning system to optimize COVID-19 hospital admission decisions
Demand has outstripped healthcare supply during the coronavirus disease 2019 (COVID-
19) pandemic. Emergency departments (EDs) are tasked with distinguishing patients who …
19) pandemic. Emergency departments (EDs) are tasked with distinguishing patients who …
Comparing machine learning algorithms for predicting ICU admission and mortality in COVID-19
As predicting the trajectory of COVID-19 is challenging, machine learning models could
assist physicians in identifying high-risk individuals. This study compares the performance of …
assist physicians in identifying high-risk individuals. This study compares the performance of …
Predicting clinical outcomes and hospitalization stay of hospitalized COVID-19 patients by using Deep Learning methods
A Ziemys - medRxiv, 2022 - medrxiv.org
Predicting outcomes and other critical clinical events of hospitalized COVID-19 patients may
provide a valuable asset to healthcare and a chance to improve patient outcomes. Here, we …
provide a valuable asset to healthcare and a chance to improve patient outcomes. Here, we …
Machine Learning-Driven Prediction of ICU Admissions for COVID-19 Patients
AM Mutawa - Authorea Preprints, 2024 - techrxiv.org
In the wake of the COVID-19 pandemic, efficiently allocating ICU resources for critical
patients has become crucial, especially for those with chronic conditions. This study …
patients has become crucial, especially for those with chronic conditions. This study …
Machine learning to assist clinical decision-making during the COVID-19 pandemic
Background The number of cases from the coronavirus disease 2019 (COVID-19) global
pandemic has overwhelmed existing medical facilities and forced clinicians, patients, and …
pandemic has overwhelmed existing medical facilities and forced clinicians, patients, and …
Coronavirus-related disease pandemic: a review on machine learning approaches and treatment trials on diagnosed population for future clinical decision support
S Kautish - Current Medical Imaging, 2022 - ingentaconnect.com
Objective: Coronavirus-related disease, a deadly illness, has raised public health issues
worldwide. The majority of individuals infected are multiplying. The government is taking …
worldwide. The majority of individuals infected are multiplying. The government is taking …