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Development and Validation of an Early Scoring System for Prediction of Disease Severity in COVID-19 Using Complete Blood Count Parameters., , , , , , , , , и 4 other автор(ы). IEEE Access, (2021)BIO-CXRNET: a robust multimodal stacking machine learning technique for mortality risk prediction of COVID-19 patients using chest X-ray images and clinical data., , , , , , , , , и 3 other автор(ы). Neural Comput. Appl., 35 (24): 17461-17483 (августа 2023)Deep learning-based middle cerebral artery blood flow abnormality detection using flow velocity waveform derived from transcranial Doppler ultrasound., , , , , , , , , и 1 other автор(ы). Biomed. Signal Process. Control., (августа 2023)An Early Warning Tool for Predicting Mortality Risk of COVID-19 Patients Using Machine Learning., , , , , , , и . Cogn. Comput., 16 (4): 1778-1793 (июля 2024)Virtual Reality Module Depicting Catheter-Associated Urinary Tract Infection as Educational Tool to Reduce Antibiotic Resistant Hospital-Acquired Bacterial Infections., , , и . ICIoT, стр. 544-548. IEEE, (2020)An early warning tool for predicting mortality risk of COVID-19 patients using machine learning., , , , , , , и . CoRR, (2020)Exploring the Effect of Image Enhancement Techniques on COVID-19 Detection using Chest X-rays Images., , , , , , , , , и 1 other автор(ы). CoRR, (2020)QCovSML: A reliable COVID-19 detection system using CBC biomarkers by a stacking machine learning model., , , , , , , , , и 2 other автор(ы). Comput. Biol. Medicine, (2022)