Healthcare Innovations and Translational Informatics lab (HITI) @ Emory


Machine learning for Health, Imaging Informatics

Using cognitive fit theory to evaluate patient understanding of medical images


Journal article


Judy Wawira Gichoya, Mohammad Alarifi, Ria Bhaduri, Bilal Tahir, Saptarshi Purkayastha
embc, International Conference of the IEEE Engineering in Medicine and Biology Society, 2017 May 30, pp. 2430-2433

Cite

APA
Gichoya, J. W., Alarifi, M., Bhaduri, R., Tahir, B., & Purkayastha, S. (2017). Using cognitive fit theory to evaluate patient understanding of medical images. International Conference of the IEEE Engineering in Medicine and Biology Society, 2017, 2430–2433.

Chicago/Turabian
Gichoya, Judy Wawira, Mohammad Alarifi, Ria Bhaduri, Bilal Tahir, and Saptarshi Purkayastha. “Using Cognitive Fit Theory to Evaluate Patient Understanding of Medical Images.” International Conference of the IEEE Engineering in Medicine and Biology Society 2017 (May 30, 2017): 2430–2433.

MLA
Gichoya, Judy Wawira, et al. “Using Cognitive Fit Theory to Evaluate Patient Understanding of Medical Images.” International Conference of the IEEE Engineering in Medicine and Biology Society, vol. 2017, May 2017, pp. 2430–33.