[HTML][HTML] A systematic review on AI/ML approaches against COVID-19 outbreak
Abstract A pandemic disease, COVID-19, has caused trouble worldwide by infecting millions
of people. The studies that apply artificial intelligence (AI) and machine learning (ML) …
of people. The studies that apply artificial intelligence (AI) and machine learning (ML) …
[HTML][HTML] 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 …
Development of digitalization road map for healthcare facility management
Effective Healthcare Facility Management (HFM) remain a crucial concern for high quality
built healthcare sectors, both in the public and private areas. The anticipated resource …
built healthcare sectors, both in the public and private areas. The anticipated resource …
[HTML][HTML] Machine learning first response to COVID-19: A systematic literature review of clinical decision assistance approaches during pandemic years from 2020 to …
G Badiola-Zabala, JM Lopez-Guede, J Estevez… - Electronics, 2024 - mdpi.com
Background: The declaration of the COVID-19 pandemic triggered global efforts to control
and manage the virus impact. Scientists and researchers have been strongly involved in …
and manage the virus impact. Scientists and researchers have been strongly involved in …
[HTML][HTML] Applications of Artificial Intelligence (AI) for cardiology during COVID-19 pandemic
Abstract Background and aims Artificial Intelligence (AI) shows extensive capabilities to
impact different healthcare areas during the COVID-19 pandemic positively. This paper tries …
impact different healthcare areas during the COVID-19 pandemic positively. This paper tries …
Combining initial radiographs and clinical variables improves deep learning prognostication in patients with COVID-19 from the emergency department
Purpose To train a deep learning classification algorithm to predict chest radiograph severity
scores and clinical outcomes in patients with coronavirus disease 2019 (COVID-19) …
scores and clinical outcomes in patients with coronavirus disease 2019 (COVID-19) …
[HTML][HTML] Machine learning-based IoT system for COVID-19 epidemics
The planet earth has been facing COVID-19 epidemic as a challenge in recent time. It is
predictable that the world will be fighting the pandemic by taking precautions steps before …
predictable that the world will be fighting the pandemic by taking precautions steps before …
[HTML][HTML] Machine learning-based cardiac activity non-linear analysis for discriminating COVID-19 patients with different degrees of severity
P Ribeiro, JAL Marques, D Pordeus, L Zacarias… - … Signal Processing and …, 2024 - Elsevier
Objective: This study highlights the potential of an Electrocardiogram (ECG) as a powerful
tool for early diagnosis of COVID-19 in critically ill patients with limited access to CT–Scan …
tool for early diagnosis of COVID-19 in critically ill patients with limited access to CT–Scan …
[HTML][HTML] A machine learning approach to identify groups of patients with hematological malignant disorders
P Rodríguez-Belenguer, JL Piñana… - Computer Methods and …, 2024 - Elsevier
Abstract Background and Objective Vaccination against SARS-CoV-2 in
immunocompromised patients with hematologic malignancies (HM) is crucial to reduce the …
immunocompromised patients with hematologic malignancies (HM) is crucial to reduce the …
[HTML][HTML] Artificial intelligence applied to analyzes during the pandemic: COVID-19 beds occupancy in the state of Rio Grande do Norte, Brazil
TO Barreto, NVR Veras, PH Cardoso… - Frontiers in Artificial …, 2023 - frontiersin.org
The COVID-19 pandemic is already considered one of the biggest global health crises. In
Rio Grande do Norte, a Brazilian state, the RegulaRN platform was the health information …
Rio Grande do Norte, a Brazilian state, the RegulaRN platform was the health information …