Cite
611 - Individualized Prediction of Euthymic Bipolar Disorder and Euthymic Major Depressive Disorder Patients Using Neurocognitive scores, Neuroimaging Data and Machine Learning.
MLA
Soares, Jair, et al. “611 - Individualized Prediction of Euthymic Bipolar Disorder and Euthymic Major Depressive Disorder Patients Using Neurocognitive Scores, Neuroimaging Data and Machine Learning.” Biological Psychiatry, vol. 81, May 2017, p. S247. EBSCOhost, https://doi.org/10.1016/j.biopsych.2017.02.481.
APA
Soares, J., Wu, M.-J., Bauer, I. E., Passos, I., Zunta-Soares, G., Glahn, D., & Mwangi, B. (2017). 611 - Individualized Prediction of Euthymic Bipolar Disorder and Euthymic Major Depressive Disorder Patients Using Neurocognitive scores, Neuroimaging Data and Machine Learning. Biological Psychiatry, 81, S247. https://doi.org/10.1016/j.biopsych.2017.02.481
Chicago
Soares, Jair, Mon-Ju Wu, Isabelle E. Bauer, Ives Passos, Giovana Zunta-Soares, David Glahn, and Benson Mwangi. 2017. “611 - Individualized Prediction of Euthymic Bipolar Disorder and Euthymic Major Depressive Disorder Patients Using Neurocognitive Scores, Neuroimaging Data and Machine Learning.” Biological Psychiatry 81 (May): S247. doi:10.1016/j.biopsych.2017.02.481.