American Psychological Association 6th edition

Hosu, M. C., Faye, L. M., & Apalata, T. (2024). Predicting Treatment Outcomes in Patients with Drug-Resistant Tuberculosis and Human Immunodeficiency Virus Coinfection, Using Supervised Machine Learning Algorithm. Pathogens, 13(11), 923-945. https://doi.org/10.3390/pathogens13110923

ISO-690 (author-date, English)

HOSU, Mojisola Clara, FAYE, Lindiwe Modest und APALATA, Teke, 2024. Predicting Treatment Outcomes in Patients with Drug-Resistant Tuberculosis and Human Immunodeficiency Virus Coinfection, Using Supervised Machine Learning Algorithm. Pathogens. 1 November 2024. Vol. 13, no. 11, p. 923-945. DOI 10.3390/pathogens13110923.

Modern Language Association 9th edition

Hosu, M. C., L. M. Faye, und T. Apalata. „Predicting Treatment Outcomes in Patients With Drug-Resistant Tuberculosis and Human Immunodeficiency Virus Coinfection, Using Supervised Machine Learning Algorithm.“. Pathogens, Bd. 13, Nr. 11, November 2024, S. 923-45, https://doi.org/10.3390/pathogens13110923.

Mohr Siebeck - Recht (Deutsch - Österreich)

Hosu, Mojisola Clara/Faye, Lindiwe Modest/Apalata, Teke: Predicting Treatment Outcomes in Patients with Drug-Resistant Tuberculosis and Human Immunodeficiency Virus Coinfection, Using Supervised Machine Learning Algorithm., Pathogens 2024, 923-945.

Emerald - Harvard

Hosu, M.C., Faye, L.M. und Apalata, T. (2024), „Predicting Treatment Outcomes in Patients with Drug-Resistant Tuberculosis and Human Immunodeficiency Virus Coinfection, Using Supervised Machine Learning Algorithm.“, Pathogens, Vol. 13 No. 11, S. 923-945.

Achtung: Diese Zitate sind unter Umständen nicht zu 100% korrekt.