Mullin, Sarah, Zola, Jaroslaw, Lee, Robert, Hu, Jinwei, MacKenzie, Brianne, Brickman, Arlen, Anaya, Gabriel, Sinha, Shyamashree, Li, Angie, and Elkin, Peter L. Longitudinal K-means approaches to clustering and analyzing EHR opioid use trajectories for clinical subtypes. Retrieved from https://par.nsf.gov/biblio/10316498. Journal of Biomedical Informatics 122.C Web. doi:10.1016/j.jbi.2021.103889.

Mullin, Sarah, Zola, Jaroslaw, Lee, Robert, Hu, Jinwei, MacKenzie, Brianne, Brickman, Arlen, Anaya, Gabriel, Sinha, Shyamashree, Li, Angie, & Elkin, Peter L. Longitudinal K-means approaches to clustering and analyzing EHR opioid use trajectories for clinical subtypes. Journal of Biomedical Informatics, 122 (C). Retrieved from https://par.nsf.gov/biblio/10316498. https://doi.org/10.1016/j.jbi.2021.103889

Mullin, Sarah, Zola, Jaroslaw, Lee, Robert, Hu, Jinwei, MacKenzie, Brianne, Brickman, Arlen, Anaya, Gabriel, Sinha, Shyamashree, Li, Angie, and Elkin, Peter L. "Longitudinal K-means approaches to clustering and analyzing EHR opioid use trajectories for clinical subtypes". Journal of Biomedical Informatics 122 (C). Country unknown/Code not available. https://doi.org/10.1016/j.jbi.2021.103889. https://par.nsf.gov/biblio/10316498.

@article{osti_10316498,
place = {Country unknown/Code not available}, title = {Longitudinal K-means approaches to clustering and analyzing EHR opioid use trajectories for clinical subtypes}, url = {https://par.nsf.gov/biblio/10316498}, DOI = {10.1016/j.jbi.2021.103889}, abstractNote = {}, journal = {Journal of Biomedical Informatics}, volume = {122}, number = {C}, author = {Mullin, Sarah and Zola, Jaroslaw and Lee, Robert and Hu, Jinwei and MacKenzie, Brianne and Brickman, Arlen and Anaya, Gabriel and Sinha, Shyamashree and Li, Angie and Elkin, Peter L.}, }