Mortality Prediction Utilizing Blood Biomarkers to Predict the Severity of COVID-19 Using Machine Learning Technique.

Autor: Rahman T; Department of Electrical Engineering, Qatar University, Doha 2713, Qatar., Al-Ishaq FA; Department of Basic Medical Sciences, College of Medicine, QU Health, Qatar University, Doha 2713, Qatar., Al-Mohannadi FS; Department of Basic Medical Sciences, College of Medicine, QU Health, Qatar University, Doha 2713, Qatar., Mubarak RS; Department of Basic Medical Sciences, College of Medicine, QU Health, Qatar University, Doha 2713, Qatar., Al-Hitmi MH; Department of Basic Medical Sciences, College of Medicine, QU Health, Qatar University, Doha 2713, Qatar., Islam KR; Department of Electrical Engineering, Qatar University, Doha 2713, Qatar., Khandakar A; Department of Electrical Engineering, Qatar University, Doha 2713, Qatar., Hssain AA; Medical ICU, Hamad General Hospital, Doha 3050, Qatar., Al-Madeed S; Department of Computer Science and Engineering, Qatar University, Doha 2713, Qatar., Zughaier SM; Department of Basic Medical Sciences, College of Medicine, QU Health, Qatar University, Doha 2713, Qatar., Chowdhury MEH; Department of Electrical Engineering, Qatar University, Doha 2713, Qatar.

Publikováno v: Diagnostics (Basel, Switzerland) [Diagnostics (Basel)] 2021 Aug 31; Vol. 11 (9). Date of Electronic Publication: 2021 Aug 31.

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.

Autor: Rahman, Tawsifur¹ (AUTHOR), Chowdhury, Muhammad E. H.¹ (AUTHOR) mchowdhury@qu.edu.qa, Khandakar, Amith¹ (AUTHOR), Mahbub, Zaid Bin² (AUTHOR) zaid.mahbub@northsouth.edu, Hossain, Md Sakib Abrar³ (AUTHOR), Alhatou, Abraham⁴ (AUTHOR), Abdalla, Eynas⁵ (AUTHOR), Muthiyal, Sreekumar⁶ (AUTHOR), Islam, Khandaker Farzana¹ (AUTHOR), Kashem, Saad Bin Abul⁷ (AUTHOR), Khan, Muhammad Salman¹ (AUTHOR), Zughaier, Susu M.⁸ (AUTHOR), Hossain, Maqsud³ (AUTHOR)

Publikováno v: Neural Computing & Applications. Aug2023, Vol. 35 Issue 24, p17461-17483. 23p.

Lethality risk markers by sex and age-group for COVID-19 in Mexico: a cross-sectional study based on machine learning approach.

Autor: Rojas-García, Mariano¹ (AUTHOR), Vázquez, Blanca² (AUTHOR), Torres-Poveda, Kirvis³ (AUTHOR) kjtorres@insp.mx, Madrid-Marina, Vicente¹ (AUTHOR) vmarina@insp.mx

Publikováno v: BMC Infectious Diseases. 1/11/2023, Vol. 23 Issue 1, p1-14. 14p.