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2025
Hyperparameter Optimization Supported by SHAP Analysis for Performance Enhancement of Machine Learning Models in Covid-19 Diagnosis
Türk Doğa ve Fen Dergisi
2025
Assessing feature scorer results on high-dimensional datasets with t-SNE
Neurocomputing
2025
“A 6 or a 9?”: Ensemble Learning through the Multiplicity of Performant Models and Explanations
ACM Transactions on Knowledge Discovery from Data
2025
The external validity of machine learning-based prediction scores from hematological parameters of COVID-19: A study using hospital records from Brazil, Italy, and Western Europe
PLOS ONE
2024
Analysis and comparison of feature selection methods towards performance and stability
Expert Systems with Applications
2024
A Scoping Literature Review of Artificial Intelligence in Epidemiology: Uses, Applications, Challenges and Future Trends
Journal of Computing Theories and Applications
2024
Predictive risk models for COVID-19 patients using the multi-thresholding meta-algorithm
Scientific Reports
2024
Combining artificial neural networks and hematological data to diagnose Covid-19 infection in Brazilian population
Neural Computing and Applications
2023
Severity prediction in COVID-19 patients using clinical markers and explainable artificial intelligence: A stacked ensemble machine learning approach
Intelligent Decision Technologies
2023
How to diagnose COVID-19 in family practice? Usability of complete blood count as a COVID-19 diagnostic tool: a cross-sectional study in Turkey
BMJ Open
2023
Harnessing Machine Learning in Early COVID-19 Detection and Prognosis: A Comprehensive Systematic Review
Cureus
2023
MultiCOVID: a multi modal deep learning approach for COVID-19 diagnosis
Scientific Reports
2023
A Survey of COVID-19 Diagnosis Using Routine Blood Tests with the Aid of Artificial Intelligence Techniques
Diagnostics
2023
Reconstructing the cytokine view for the multi-view prediction of COVID-19 mortality
BMC Infectious Diseases
2023
Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society
2022
Prediction of SARS-CoV-2-positivity from million-scale complete blood counts using machine learning
Communications Medicine
2022
Artificial intelligence for COVID-19: battling the pandemic with computational intelligence
Intelligent Medicine
2022
Detection of Risk Predictors of COVID-19 Mortality with Classifier Machine Learning Models Operated with Routine Laboratory Biomarkers
Applied Sciences
2022
QCovSML: A reliable COVID-19 detection system using CBC biomarkers by a stacking machine learning model
Computers in Biology and Medicine
2022
The accuracy of machine learning approaches using non-image data for the prediction of COVID-19: A meta-analysis
International Journal of Medical Informatics
2022
How is test laboratory data used and characterised by machine learning models? A systematic review of diagnostic and prognostic models developed for COVID-19 patients using only laboratory data
Clinical Chemistry and Laboratory Medicine (CCLM)
2022
Domain Shifts in Machine Learning Based Covid-19 Diagnosis From Blood Tests
Journal of Medical Systems
2022
Feature selection reveal peripheral blood parameter's changes between COVID-19 infections patients from Brazil and Ecuador
Infection, Genetics and Evolution
2022
Understanding Health Care Administrators’ Data and Information Needs for Decision Making during the COVID-19 Pandemic: A Qualitative Study at an Academic Health System
MDM Policy & Practice
2022
Artificial Intelligence in Covid-19
2022
Clinical and Laboratory Approach to Diagnose COVID-19 Using Machine Learning
Interdisciplinary Sciences: Computational Life Sciences
2021
Comparison of machine learning techniques to handle imbalanced COVID-19 CBC datasets
PeerJ Computer Science
2021
A systematic review on AI/ML approaches against COVID-19 outbreak
Complex & Intelligent Systems
2021
Development, evaluation, and validation of machine learning models for COVID-19 detection based on routine blood tests
Clinical Chemistry and Laboratory Medicine (CCLM)
2021
DERİN SİNİR AĞLARI VE YENİDEN ÖRNEKLEME METOTLARI İLE RUTİN KAN TESTLERİNE DAYALI COVID-19 TESPİTİ
Konya Journal of Engineering Sciences
2021
Relevance aggregation for neural networks interpretability and knowledge discovery on tabular data
Information Sciences
2021
SMOTE-NC and gradient boosting imputation based random forest classifier for predicting severity level of covid-19 patients with blood samples
Neural Computing and Applications
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