Mixture Model Framework for Traumatic Brain Injury Prognosis Using Heterogeneous Clinical and Outcome Data. Kaplan, A. D., Cheng, Q., Mohan, K. A., Nelson, L. D., Jain, S., Levin, H., Torres-Espin, A., Chou, A., Huie, J. R., Ferguson, A. R., McCrea, M., Giacino, J., Sundaram, S., Markowitz, A. J., & Manley, G. T. IEEE J. Biomed. Health Informatics, 26(3):1285–1296, 2022.
Mixture Model Framework for Traumatic Brain Injury Prognosis Using Heterogeneous Clinical and Outcome Data [link]Paper  doi  bibtex   
@article{DBLP:journals/titb/KaplanCMNJLTCHF22,
  author    = {Alan David Kaplan and
               Qi Cheng and
               K. Aditya Mohan and
               Lindsay D. Nelson and
               Sonia Jain and
               Harvey Levin and
               Abel Torres{-}Espin and
               Austin Chou and
               J. Russell Huie and
               Adam R. Ferguson and
               Michael McCrea and
               Joseph Giacino and
               Shivshankar Sundaram and
               Amy J. Markowitz and
               Geoffrey T. Manley},
  title     = {Mixture Model Framework for Traumatic Brain Injury Prognosis Using
               Heterogeneous Clinical and Outcome Data},
  journal   = {{IEEE} J. Biomed. Health Informatics},
  volume    = {26},
  number    = {3},
  pages     = {1285--1296},
  year      = {2022},
  url       = {https://doi.org/10.1109/JBHI.2021.3099745},
  doi       = {10.1109/JBHI.2021.3099745},
  timestamp = {Tue, 18 Oct 2022 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/titb/KaplanCMNJLTCHF22.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

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