Richard L. Bradshaw, Kensaku Kawamoto, Jemar R. Bather, Melody Goodman, Wendy Kohlmann, Daniel Chavez-Yenter, Molly Volkmar, Rachel Monahan, Kimberly A. Kaphingst, Guilherme Del Fiol. Enhanced family history-based algorithms increase the identification of individuals meeting criteria for genetic testing of hereditary cancer syndromes but would not reduce disparities on their own. Journal of Biomedical Informatics, 149:104568, January 2024. [doi]
@article{BradshawKBGKCVMKF24, title = {Enhanced family history-based algorithms increase the identification of individuals meeting criteria for genetic testing of hereditary cancer syndromes but would not reduce disparities on their own}, author = {Richard L. Bradshaw and Kensaku Kawamoto and Jemar R. Bather and Melody Goodman and Wendy Kohlmann and Daniel Chavez-Yenter and Molly Volkmar and Rachel Monahan and Kimberly A. Kaphingst and Guilherme Del Fiol}, year = {2024}, month = {January}, doi = {10.1016/j.jbi.2023.104568}, url = {https://doi.org/10.1016/j.jbi.2023.104568}, researchr = {https://researchr.org/publication/BradshawKBGKCVMKF24}, cites = {0}, citedby = {0}, journal = {Journal of Biomedical Informatics}, volume = {149}, pages = {104568}, }