Energy Efficiency of Inference Algorithms for Clinical Laboratory Data Sets: Green Artificial Intelligence Study
- DOI
- 10.2196/28036
- Published
- 2022-01-25
- Container
- Journal of Medical Internet Research
- Publisher
- JMIR Publications Inc.
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.2196/28036,
title = {Energy Efficiency of Inference Algorithms for Clinical Laboratory Data Sets: Green Artificial Intelligence Study},
author = {Jia-Ruei Yu and Chun-Hsien Chen and Tsung-Wei Huang and Jang-Jih Lu and Chia-Ru Chung and Ting-Wei Lin and Min-Hsien Wu and Yi-Ju Tseng and Hsin-Yao Wang},
year = {2022},
journal = {Journal of Medical Internet Research},
doi = {10.2196/28036},
url = {https://doi.org/10.2196/28036}
}RIS
TY - JOUR TI - Energy Efficiency of Inference Algorithms for Clinical Laboratory Data Sets: Green Artificial Intelligence Study AU - Jia-Ruei Yu AU - Chun-Hsien Chen AU - Tsung-Wei Huang AU - Jang-Jih Lu AU - Chia-Ru Chung AU - Ting-Wei Lin AU - Min-Hsien Wu AU - Yi-Ju Tseng AU - Hsin-Yao Wang PY - 2022 JO - Journal of Medical Internet Research DO - 10.2196/28036 UR - https://doi.org/10.2196/28036 ER -
APA
Yu, J., Chen, C., Huang, T., Lu, J., Chung, C., Lin, T., Wu, M., Tseng, Y., & Wang, H. (2022). Energy Efficiency of Inference Algorithms for Clinical Laboratory Data Sets: Green Artificial Intelligence Study. Journal of Medical Internet Research. https://doi.org/10.2196/28036
Source records
- crossref · retrieved 2026-09-24T18:25:40.910Z