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Text mining method to unravel long COVID’s clinical condition in hospitalized patients

Title:	Text mining method to unravel long COVID’s clinical condition in hospitalized patients
Authors:	Veras Florentino, Pilar Tavares^{Aff1, Aff2}; Araújo, Vinícius de Oliveira^{Aff2, Aff3}; Zatti, Henrique^Aff2; Luis, Caio Vinícius^Aff4; Cavalcanti, Célia Regina Santos^Aff4; de Oliveira, Matheus Henrique Citibaldi^Aff4; Leão, Anderson Henrique França Figueredo^Aff4; Bertoldo Junior, Juracy^Aff2; Barbosa, George G. Caique^Aff2; Ravera, Ernesto^Aff4; Cebukin, Alberto^Aff4; David, Renata Bernardes^Aff4; de Melo, Danilo Batista Vieira^Aff5; Machado, Tales Mota^{Aff2, Aff6}; Bellei, Nancy C. J.^Aff7; Boaventura, Viviane^{Aff1, Aff3}; Barral-Netto, Manoel^{Aff1, Aff3, IDs41419024070434_cor17}; Smaili, Soraya S.^{Aff4, IDs41419024070434_cor18}
Source:	Cell Death & Disease. 15(9)
Database:	Springer Nature Journals