Deep multi-modal intermediate fusion of clinical record and time series data in mortality prediction.
- DOI
- 10.3389/fmolb.2023.1136071
- Published
- 2023
- Container
- Frontiers in molecular biosciences
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3389/fmolb.2023.1136071,
title = {Deep multi-modal intermediate fusion of clinical record and time series data in mortality prediction.},
author = {Niu K and Zhang K and Peng X and Pan Y and Xiao N},
year = {2023},
journal = {Frontiers in molecular biosciences},
doi = {10.3389/fmolb.2023.1136071},
url = {https://doi.org/10.3389/fmolb.2023.1136071}
}RIS
TY - JOUR TI - Deep multi-modal intermediate fusion of clinical record and time series data in mortality prediction. AU - Niu K AU - Zhang K AU - Peng X AU - Pan Y AU - Xiao N PY - 2023 JO - Frontiers in molecular biosciences DO - 10.3389/fmolb.2023.1136071 UR - https://doi.org/10.3389/fmolb.2023.1136071 ER -
APA
K, N., K, Z., X, P., Y, P., & N, X. (2023). Deep multi-modal intermediate fusion of clinical record and time series data in mortality prediction.. Frontiers in molecular biosciences. https://doi.org/10.3389/fmolb.2023.1136071
Source records
- pubmed · retrieved 2026-09-25T06:08:41.360Z