Development and validation of a pragmatic natural language processing approach to identifying falls in older adults in the emergency department.

MLA

Patterson, Brian W., et al. “Development and Validation of a Pragmatic Natural Language Processing Approach to Identifying Falls in Older Adults in the Emergency Department.” BMC Medical Informatics & Decision Making, vol. 19, no. 1, July 2019, p. N.PAG. EBSCOhost, https://doi.org/10.1186/s12911-019-0843-7.

APA

Patterson, B. W., Jacobsohn, G. C., Shah, M. N., Song, Y., Maru, A., Venkatesh, A. K., Zhong, M., Taylor, K., Hamedani, A. G., & Mendonça, E. A. (2019). Development and validation of a pragmatic natural language processing approach to identifying falls in older adults in the emergency department. BMC Medical Informatics & Decision Making, 19(1), N.PAG. https://doi.org/10.1186/s12911-019-0843-7

Chicago

Patterson, Brian W., Gwen C. Jacobsohn, Manish N. Shah, Yiqiang Song, Apoorva Maru, Arjun K. Venkatesh, Monica Zhong, Katherine Taylor, Azita G. Hamedani, and Eneida A. Mendonça. 2019. “Development and Validation of a Pragmatic Natural Language Processing Approach to Identifying Falls in Older Adults in the Emergency Department.” BMC Medical Informatics & Decision Making 19 (1): N.PAG. doi:10.1186/s12911-019-0843-7.