Cite
High-throughput multimodal automated phenotyping (MAP) with application to PheWAS.
MLA
Liao, Katherine P., et al. “High-Throughput Multimodal Automated Phenotyping (MAP) with Application to PheWAS.” Journal of the American Medical Informatics Association : JAMIA, vol. 26, no. 11, Nov. 2019, pp. 1255–62. EBSCOhost, https://doi.org/10.1093/jamia/ocz066.
APA
Liao, K. P., Sun, J., Cai, T. A., Link, N., Hong, C., Huang, J., Huffman, J. E., Gronsbell, J., Zhang, Y., Ho, Y.-L., Castro, V., Gainer, V., Murphy, S. N., O’Donnell, C. J., Gaziano, J. M., Cho, K., Szolovits, P., Kohane, I. S., Yu, S., & Cai, T. (2019). High-throughput multimodal automated phenotyping (MAP) with application to PheWAS. Journal of the American Medical Informatics Association : JAMIA, 26(11), 1255–1262. https://doi.org/10.1093/jamia/ocz066
Chicago
Liao, Katherine P, Jiehuan Sun, Tianrun A Cai, Nicholas Link, Chuan Hong, Jie Huang, Jennifer E Huffman, et al. 2019. “High-Throughput Multimodal Automated Phenotyping (MAP) with Application to PheWAS.” Journal of the American Medical Informatics Association : JAMIA 26 (11): 1255–62. doi:10.1093/jamia/ocz066.