Machine learning-based prediction of clinical pain using multimodal neuroimaging and autonomic metrics.

MLA

Lee, Jeungchan, et al. “Machine Learning-Based Prediction of Clinical Pain Using Multimodal Neuroimaging and Autonomic Metrics.” Pain, vol. 160, no. 3, Mar. 2019, pp. 550–60. EBSCOhost, https://doi.org/10.1097/j.pain.0000000000001417.

APA

Lee, J., Mawla, I., Kim, J., Loggia, M. L., Ortiz, A., Jung, C., Chan, S.-T., Gerber, J., Schmithorst, V. J., Edwards, R. R., Wasan, A. D., Berna, C., Kong, J., Kaptchuk, T. J., Gollub, R. L., Rosen, B. R., & Napadow, V. (2019). Machine learning-based prediction of clinical pain using multimodal neuroimaging and autonomic metrics. Pain, 160(3), 550–560. https://doi.org/10.1097/j.pain.0000000000001417

Chicago

Lee, Jeungchan, Ishtiaq Mawla, Jieun Kim, Marco L Loggia, Ana Ortiz, Changjin Jung, Suk-Tak Chan, et al. 2019. “Machine Learning-Based Prediction of Clinical Pain Using Multimodal Neuroimaging and Autonomic Metrics.” Pain 160 (3): 550–60. doi:10.1097/j.pain.0000000000001417.