Detecting time-evolving phenotypic topics via tensor factorization on electronic health records: Cardiovascular disease case study

MLA

Juan Zhao, et al. “Detecting Time-Evolving Phenotypic Topics via Tensor Factorization on Electronic Health Records: Cardiovascular Disease Case Study.” Journal of Biomedical Informatics, vol. 98, Oct. 2019, p. 103270. EBSCOhost, https://doi.org/10.1016/j.jbi.2019.103270.

APA

Juan Zhao, Wei-Qi Wei, S. Trent Rosenbloom, Joshua C. Denny, David J. Schlueter, Quinn S. Wells, QiPing Feng, Yun Zhang, Patrick Wu, & V.E. Kerchberger. (2019). Detecting time-evolving phenotypic topics via tensor factorization on electronic health records: Cardiovascular disease case study. Journal of Biomedical Informatics, 98, 103270. https://doi.org/10.1016/j.jbi.2019.103270

Chicago

Juan Zhao, Wei-Qi Wei, S. Trent Rosenbloom, Joshua C. Denny, David J. Schlueter, Quinn S. Wells, QiPing Feng, Yun Zhang, Patrick Wu, and V.E. Kerchberger. 2019. “Detecting Time-Evolving Phenotypic Topics via Tensor Factorization on Electronic Health Records: Cardiovascular Disease Case Study.” Journal of Biomedical Informatics 98 (October): 103270. doi:10.1016/j.jbi.2019.103270.