Explainable artificial intelligence approaches for COVID-19 prognosis prediction using clinical markers
K Chadaga, S Prabhu, N Sampathila, R Chadaga… - Scientific Reports, 2024 - nature.com
The COVID-19 influenza emerged and proved to be fatal, causing millions of deaths
worldwide. Vaccines were eventually discovered, effectively preventing the severe …
worldwide. Vaccines were eventually discovered, effectively preventing the severe …
Inflammation and venous thromboembolism in hospitalized patients with COVID-19
A Liontos, D Biros, R Matzaras, KH Tsarapatsani… - Diagnostics, 2023 - mdpi.com
Background: A link between inflammation and venous thromboembolism (VTE) in COVID-19
disease has been suggested pathophysiologically and clinically. The aim of this study was …
disease has been suggested pathophysiologically and clinically. The aim of this study was …
Towards Improved XAI-Based Epidemiological Research into the Next Potential Pandemic
By applying AI techniques to a variety of pandemic-relevant data, artificial intelligence (AI)
has substantially supported the control of the spread of the SARS-CoV-2 virus. Along with …
has substantially supported the control of the spread of the SARS-CoV-2 virus. Along with …
Validation of a pre-established triage protocol for critically ill patients in a COVID-19 outbreak under resource scarcity: A retrospective multicenter cohort study
N Donat, N Mellati, T Frumento, A Cirodde, S Gette… - Plos one, 2023 - journals.plos.org
Introduction In case of COVID-19 related scarcity of critical care resources, an early French
triage algorithm categorized critically ill patients by probability of survival based on medical …
triage algorithm categorized critically ill patients by probability of survival based on medical …
Development and validation of a prediction model for mechanical ventilation based on comorbidities in hospitalized patients with COVID-19
Y Zhang, YJ Zhu, DJ Zhu, BY Yu, TT Liu… - Frontiers in Public …, 2023 - frontiersin.org
Background Timely recognition of respiratory failure and the need for mechanical ventilation
is crucial in managing patients with coronavirus disease 2019 (COVID-19) and reducing …
is crucial in managing patients with coronavirus disease 2019 (COVID-19) and reducing …
EFS-XGBoost: A robust framework for precision classification of COVID-19 cases
The emergence of the novel COVID-19 virus has had a profound impact on global
healthcare systems and economies, underscoring the imperative need for the development …
healthcare systems and economies, underscoring the imperative need for the development …
Identified Factors in COVID-19 Patients in Predicting Mortality
S Yavuz, F Duksal - Nigerian Journal of Clinical Practice, 2024 - journals.lww.com
Background: The coronavirus disease 2019 (COVID-19) pandemic has led to a significant
increase in global mortality rates. Numerous studies have been conducted to identify the …
increase in global mortality rates. Numerous studies have been conducted to identify the …
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 …
The Role of Artificial Intelligence and Machine Learning for the Fight Against COVID-19
A Iglesias, A Gálvez, P Suárez - Mathematical Modeling and Intelligent …, 2023 - Springer
The COVID-19 pandemic has presented a major challenge to public health systems
worldwide. Artificial intelligence (AI) and machine learning (ML) have emerged as powerful …
worldwide. Artificial intelligence (AI) and machine learning (ML) have emerged as powerful …