Sociodemographic Indicators of Health Status Using a Machine Learning Approach and Data from the English Longitudinal Study of Aging (ELSA). Engchuan, W., Dimopoulos, A. C., Tyrovolas, S., Caballero, F. F., Sanchez-Niubo, A., Arndt, H., Ayuso-Mateos, J. L., Haro, J. M., Chatterji, S., & Panagiotakos, D. B. Medical Science Monitor, 25:1994–2001, March, 2019. ![Sociodemographic Indicators of Health Status Using a Machine Learning Approach and Data from the English Longitudinal Study of Aging (ELSA) [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi bibtex @article{engchuan_sociodemographic_2019,
title = {Sociodemographic {Indicators} of {Health} {Status} {Using} a {Machine} {Learning} {Approach} and {Data} from the {English} {Longitudinal} {Study} of {Aging} ({ELSA})},
volume = {25},
issn = {1643-3750},
url = {https://www.medscimonit.com/abstract/index/idArt/913283},
doi = {10.12659/MSM.913283},
language = {en},
urldate = {2021-02-16},
journal = {Medical Science Monitor},
author = {Engchuan, Worrawat and Dimopoulos, Alexandros C. and Tyrovolas, Stefanos and Caballero, Francisco Félix and Sanchez-Niubo, Albert and Arndt, Holger and Ayuso-Mateos, Jose Luis and Haro, Josep Maria and Chatterji, Somnath and Panagiotakos, Demosthenes B.},
month = mar,
year = {2019},
pmcid = {PMC6436225},
pmid = {30879019},
keywords = {ML, Machine Learning},
pages = {1994--2001},
}
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