Cita APA (7a ed.)
Bouaziz, J., Mashiach, R., Cohen, S., Kedem, A., Baron, A., Zajicek, M., . . . Soriano, D. (2018). How Artificial Intelligence Can Improve Our Understanding of the Genes Associated with Endometriosis: Natural Language Processing of the PubMed Database. BioMed Research International, 2018, 1-8.
Cita Chicago Style (17a ed.)
Bouaziz, J., R. Mashiach, S. Cohen, A. Kedem, A. Baron, M. Zajicek, I. Feldman, D. Seidman, y D. Soriano. "How Artificial Intelligence Can Improve Our Understanding of the Genes Associated with Endometriosis: Natural Language Processing of the PubMed Database." BioMed Research International 2018 (2018): 1-8.
Cita MLA (9a ed.)
Bouaziz, J., et al. "How Artificial Intelligence Can Improve Our Understanding of the Genes Associated with Endometriosis: Natural Language Processing of the PubMed Database." BioMed Research International, vol. 2018, 2018, pp. 1-8.
Precaución: Estas citas no son 100% exactas.