Table 5. Studies that use ML algorithms on COVID-19 hemogram data (in alphabetical order by the surname of the first author).

Source	Data	Algorithms
AlJame et al. (2020)	CBC, Albert Einstein Hospital, Brazil	XGBoost
Alves et al. (2021)	CBC, Albert Einstein Hospital, Brazil	Random Forest, Decision Tree, Criteria Graphs
Assaf et al. (2020)	Clinical and CBC profile, Sheba Medical Center, Israel	MLP, Random Forest, Decision Tree
Avila et al. (2020)	CBC, Albert Einstein Hospital, Brazil	Nave-Bayes
Banerjee et al. (2020)	CBC, Albert Einstein Hospital, Brazil	MLP, Random Forest, Logistic Regression
Bao et al. (2020)	CBC, Wuhan Union Hosp; Kunshan People’s Hosp, China	Random Forest, SVM
Bhandari et al. (2020)	Clinical and CBC profile of (non) survivors, India	Logistic Regression
Brinati et al. (2020b)	CBC, San Raffaele Hospital, Italy	Random Forest, Nave-Bayes, Logistic Regression, SVM, kNN
Cabitza et al. (2020)	CBC, San Raffaele Hospital, Italy	Random Forest, Nave-Bayes, Logistic Regression, SVM, kNN
Delafiori et al. (2021)	Mass spectrometry, COVID-19, plasma samples, Brazil	Tree Boosting, Random Forest
de Freitas Barbosa et al. (2020)	CBC, Albert Einstein Hospital, Brazil	MLP, SVM, Random Forest, Nave-Bayes
Joshi et al. (2020)	CBC of patients from USA and South Korea	Logistic Regression
Silveira (2020)	CBC, Albert Einstein Hospital, Brazil	XGBoost
Shaban et al. (2020)	CBC, San Raffaele Hospital, Italy	Fuzzy inference engine, Deep Neural Network
Soares et al. (2020)	CBC, Albert Einstein Hospital, Brazil	SVM, SMOTEBoost, kNN
Yan et al. (2020)	Laboratory test results and mortality outcome, Wuhan	XGBoost
Zhou, Chen & Lei (2020)	CBC, Tongji Hospital, China	Logistic Regression