Ambrosen, K. S., Skjerbæk, M. W., Foldager, J., Axelsen, M. C., Bak, N., Arvastson, L., . . . Ebdrup, B. H. (2020). A machine-learning framework for robust and reliable prediction of short- and long-term treatment response in initially antipsychotic-naïve schizophrenia patients based on multimodal neuropsychiatric data. Translational psychiatry, 10(1), 276. https://doi.org/10.1038/s41398-020-00962-8
Chicago-Zitierstil (17. Ausg.)Ambrosen, Karen S., et al. "A Machine-learning Framework for Robust and Reliable Prediction of Short- and Long-term Treatment Response in Initially Antipsychotic-naïve Schizophrenia Patients Based on Multimodal Neuropsychiatric Data." Translational Psychiatry 10, no. 1 (2020): 276. https://doi.org/10.1038/s41398-020-00962-8.
MLA-Zitierstil (9. Ausg.)Ambrosen, Karen S., et al. "A Machine-learning Framework for Robust and Reliable Prediction of Short- and Long-term Treatment Response in Initially Antipsychotic-naïve Schizophrenia Patients Based on Multimodal Neuropsychiatric Data." Translational Psychiatry, vol. 10, no. 1, 2020, p. 276, https://doi.org/10.1038/s41398-020-00962-8.