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 …
Performance of machine learning models in identifying and predicting patients' need for intensive care in emergency department triage: A systematic review
Y Chen, H Chen, Q Sun, R Zhai, X Liu, J Zhou… - The American Journal of …, 2023 - Elsevier
Background The emergency department (ED) triage process serves as a crucial first step for
patients seeking acute care, This initial assessment holds crucial implications for patient …
patients seeking acute care, This initial assessment holds crucial implications for patient …
Random forest regression for prediction of Covid-19 daily cases and deaths in Turkey
F Özen - Heliyon, 2024 - cell.com
During pandemic periods, there is an intense flow of patients to hospitals. Depending on the
disease, many patients may require hospitalization. In some cases, these patients must be …
disease, many patients may require hospitalization. In some cases, these patients must be …
Integrating AI/ML models for patient stratification leveraging omics dataset and clinical biomarkers from COVID-19 patients: A promising approach to personalized …
The COVID-19 pandemic has presented an unprecedented challenge to the healthcare
system. Identifying the genomics and clinical biomarkers for effective patient stratification …
system. Identifying the genomics and clinical biomarkers for effective patient stratification …
COVID-19 mortality prediction in Hungarian ICU settings implementing random forest algorithm
The emergence of newer SARS-CoV-2 variants of concern (VOCs) profoundly changed the
ICU demography; this shift in the virus's genotype and its correlation to lethality in the ICUs is …
ICU demography; this shift in the virus's genotype and its correlation to lethality in the ICUs is …
Quantifying impairment and disease severity using AI models trained on healthy subjects
Automatic assessment of impairment and disease severity is a key challenge in data-driven
medicine. We propose a framework to address this challenge, which leverages AI models …
medicine. We propose a framework to address this challenge, which leverages AI models …
[HTML][HTML] Development and Validation of a Robust and Interpretable Early Triaging Support System for Patients Hospitalized With COVID-19: Predictive Algorithm …
S Baek, YJ Jeong, YH Kim, JY Kim, JH Kim… - Journal of medical …, 2024 - jmir.org
Background Robust and accurate prediction of severity for patients with COVID-19 is crucial
for patient triaging decisions. Many proposed models were prone to either high bias risk or …
for patient triaging decisions. Many proposed models were prone to either high bias risk or …
Efficient clinical decision-making process via AI-based multimodal data fusion: A COVID-19 case study
COVID-19 is an infectious disease that caused a global pandemic in 2020. In the critical
moments of this healthcare emergencies, the medical staff needs to take important decisions …
moments of this healthcare emergencies, the medical staff needs to take important decisions …
[HTML][HTML] AutoML-Driven Insights into Patient Outcomes and Emergency Care During Romania's First Wave of COVID-19
SCS Simon, I Bibi, D Schaffert, J Benecke, N Martin… - Bioengineering, 2024 - mdpi.com
Background: The COVID-19 pandemic severely impacted healthcare systems, affecting
patient outcomes and resource allocation. This study applied automated machine learning …
patient outcomes and resource allocation. This study applied automated machine learning …
Development of a novel machine learning model based on laboratory and imaging indices to predict acute cardiac injury in cancer patients with COVID-19 infection: a …
G Wan, X Wu, X Zhang, H Sun, X Yu - Journal of Cancer Research and …, 2023 - Springer
Purpose Due to the increased risk of acute cardiac injury (ACI) and poor prognosis in cancer
patients with COVID-19 infection, our aim was to develop a novel and interpretable model …
patients with COVID-19 infection, our aim was to develop a novel and interpretable model …