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. 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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