Early prediction of COVID-19 outcome using artificial intelligence techniques and only five laboratory indices
Panagiotis G. Asteris(School of Pedagogical and Technological Education), Meletios Α. Dimopoulos(Korea University), Maria Paneta(National and Kapodistrian University of Athens), Gloria F. Gerber(Johns Hopkins University), Theodoros Argyropoulos(Hellenic Red Cross), Eleni Gavriilaki(Aristotle University of Thessaloniki), Dimitrios T. Boumpas(National and Kapodistrian University of Athens), Markos Z. Tsoukalas(School of Pedagogical and Technological Education), Andreas Koutzas, Evangelos Terpos(National and Kapodistrian University of Athens), Liborio Cavaleri(University of Palermo), Styliani Kokoris(University General Hospital Attikon), Panagiotis Houpas(School of Pedagogical and Technological Education), Maosen Cao(Hohai University), Abidhan Bardhan(National Institute of Technology Patna), Argyrios E. Tsantes(National and Kapodistrian University of Athens), Nizar Faisal Alkayem(Hohai University), Ahmed Salih Mohammed(University of Sulaimani), Danial Jahed Armaghani(University of Technology Sydney), Iman Mansouri(Princeton University), Pijush Samui(National Institute of Technology Patna)
Cited by 37
Related Papers
International uniform response criteria for multiple myeloma
|Leukemia|2006|2.6k
Revised International Staging System for Multiple Myeloma: A Report From International Myeloma Working Group
|Journal of Clinical Oncology|2015|2.2k
2019 update of the EULAR recommendations for the management of systemic lupus erythematosus
|Annals of the Rheumatic Diseases|2019|2k
Hematological findings and complications of <scp>COVID</scp>‐19
|American Journal of Hematology|2020|1.7k