Machine Learning Approach to Predicting COVID-19 Disease Severity Based on Clinical Blood Test Data: Statistical Analysis and Model Development - Aktar, Sakifa; Ahamad, Md Martuza; Rashed-Al-Mahfuz, Md; Azad, AKM; Uddin, Shahadat; Kamal, AHM; Alyami, Salem A; Lin, Ping-I; Islam, Sheikh Mohammed Shariful; Quinn, Julian MW; Eapen, Valsamma; Moni, Mohammad Ali (JMIR medical informatics, 2021)
Keywords: Algorithms; Blood pressure; Coronaviruses; COVID-19; Data collection; Datasets; Decision making; Disease; Intensive care; Machine learning; Medical prognosis; Neural networks; Original Paper; Pandemics; Patients; Severe acute respiratory syndrome coronavirus 2; Statistical methods; Support vector machines; severity; blood samples; data set; testing; machine learning; blood; COVID-19; mortality; prediction; risk; morbidity; statistical analysis; outcome