Extracting New Temporal Features to Improve the Interpretability of Undiagnosed Type 2 Diabetes Mellitus Prediction Models.
- DOI
- 10.3390/jpm12030368
- Published
- 2022 Feb 28
- Container
- Journal of personalized medicine
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/jpm12030368,
title = {Extracting New Temporal Features to Improve the Interpretability of Undiagnosed Type 2 Diabetes Mellitus Prediction Models.},
author = {Kocbek S and Kocbek P and Gosak L and Fijačko N and Štiglic G},
year = {2022},
journal = {Journal of personalized medicine},
doi = {10.3390/jpm12030368},
url = {https://doi.org/10.3390/jpm12030368}
}RIS
TY - JOUR TI - Extracting New Temporal Features to Improve the Interpretability of Undiagnosed Type 2 Diabetes Mellitus Prediction Models. AU - Kocbek S AU - Kocbek P AU - Gosak L AU - Fijačko N AU - Štiglic G PY - 2022 JO - Journal of personalized medicine DO - 10.3390/jpm12030368 UR - https://doi.org/10.3390/jpm12030368 ER -
APA
S, K., P, K., L, G., N, F., & G, Š. (2022). Extracting New Temporal Features to Improve the Interpretability of Undiagnosed Type 2 Diabetes Mellitus Prediction Models.. Journal of personalized medicine. https://doi.org/10.3390/jpm12030368
Source records
- pubmed · retrieved 2026-09-26T20:20:21.812Z