Predicting the Mortality of Patients With Covid-19 a Machine Learning Approach: Correspondence

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Predicting the Mortality of Patients With Covid-19 a Machine Learning Approach: Correspondence Publisher

Ayyoubzadeh SM¹

Show Affiliations

1. Medical Informatics, Department of Health Information Management, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran

Source: Health Science Reports Published:2023

[No abstract available]

Style	Citing Format
MLA	Ayyoubzadeh SM. "Predicting the Mortality of Patients With Covid-19 a Machine Learning Approach: Correspondence." Health Science Reports, vol. 6, no. 9, 2023, pp. -.
APA	Ayyoubzadeh SM (2023). Predicting the Mortality of Patients With Covid-19 a Machine Learning Approach: Correspondence. Health Science Reports, 6(9), -.
Chicago	Ayyoubzadeh SM. "Predicting the Mortality of Patients With Covid-19 a Machine Learning Approach: Correspondence." Health Science Reports 6, no. 9 (2023): -.
Harvard	Ayyoubzadeh SM (2023) 'Predicting the Mortality of Patients With Covid-19 a Machine Learning Approach: Correspondence', Health Science Reports, 6(9), pp. -.
Vancouver	Ayyoubzadeh SM. Predicting the Mortality of Patients With Covid-19 a Machine Learning Approach: Correspondence. Health Science Reports. 2023;6(9):-.
BibTex	@article{ author = {Ayyoubzadeh SM}, title = {Predicting the Mortality of Patients With Covid-19 a Machine Learning Approach: Correspondence}, journal = {Health Science Reports}, volume = {6}, number = {9}, pages = {-}, year = {2023} }
RIS	TY - JOUR AU - Ayyoubzadeh SM TI - Predicting the Mortality of Patients With Covid-19 a Machine Learning Approach: Correspondence JO - Health Science Reports VL - 6 IS - 9 SP - EP - PY - 2023 ER -