A review on deep learning approaches in healthcare systems: Taxonomies, challenges, and open issues
- DOI
- 10.1016/j.jbi.2020.103627
- Published
- 2021-01
- Container
- Journal of Biomedical Informatics
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.jbi.2020.103627,
title = {A review on deep learning approaches in healthcare systems: Taxonomies, challenges, and open issues},
author = {Shahab Shamshirband and Mahdis Fathi and Abdollah Dehzangi and Anthony Theodore Chronopoulos and Hamid Alinejad-Rokny},
year = {2021},
journal = {Journal of Biomedical Informatics},
doi = {10.1016/j.jbi.2020.103627},
url = {https://doi.org/10.1016/j.jbi.2020.103627}
}RIS
TY - JOUR TI - A review on deep learning approaches in healthcare systems: Taxonomies, challenges, and open issues AU - Shahab Shamshirband AU - Mahdis Fathi AU - Abdollah Dehzangi AU - Anthony Theodore Chronopoulos AU - Hamid Alinejad-Rokny PY - 2021 JO - Journal of Biomedical Informatics DO - 10.1016/j.jbi.2020.103627 UR - https://doi.org/10.1016/j.jbi.2020.103627 ER -
APA
Shamshirband, S., Fathi, M., Dehzangi, A., Chronopoulos, A. T., & Alinejad-Rokny, H. (2021). A review on deep learning approaches in healthcare systems: Taxonomies, challenges, and open issues. Journal of Biomedical Informatics. https://doi.org/10.1016/j.jbi.2020.103627
Source records
- crossref · retrieved 2026-09-25T15:03:06.034Z