Published on in Vol 24, No 1 (2022): January
![Energy Efficiency of Inference Algorithms for Clinical Laboratory Data Sets: Green Artificial Intelligence Study Energy Efficiency of Inference Algorithms for Clinical Laboratory Data Sets: Green Artificial Intelligence Study](https://asset.jmir.pub/assets/54a4a7f525b21d495381ed5bc1b1a483.png 480w,https://asset.jmir.pub/assets/54a4a7f525b21d495381ed5bc1b1a483.png 960w,https://asset.jmir.pub/assets/54a4a7f525b21d495381ed5bc1b1a483.png 1920w,https://asset.jmir.pub/assets/54a4a7f525b21d495381ed5bc1b1a483.png 2500w)
1 Department of Laboratory Medicine, Chang Gung Memorial Hospital at Linkou, Taoyuan City, Taiwan
2 Department of Information Management, Chang Gung University, Taoyuan City, Taiwan
3 Department of Electrical and Computer Engineering, University of Utah, Salt Lake City, UT, United States
4 Department of Computer Science and Information Engineering, National Central University, Taoyuan City, Taiwan
5 Graduate Institute of Biomedical Engineering, Chang Gung University, Taoyuan City, Taiwan
6 Department of Information Management, National Central University, Taoyuan City, Taiwan
*these authors contributed equally