Published on in Vol 24, No 1 (2022): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/28036, first published .
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

Energy Efficiency of Inference Algorithms for Clinical Laboratory Data Sets: Green Artificial Intelligence Study

Jia-Ruei Yu   1 , MD ;   Chun-Hsien Chen   1, 2 , PhD ;   Tsung-Wei Huang   3 , PhD ;   Jang-Jih Lu   1 , MD, PhD ;   Chia-Ru Chung   4 , PhD ;   Ting-Wei Lin   1 , MD ;   Min-Hsien Wu   5 , PhD ;   Yi-Ju Tseng   6 * , PhD ;   Hsin-Yao Wang   1, 5 * , MD

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

Corresponding Author:

  • Hsin-Yao Wang, MD
  • Department of Laboratory Medicine
  • Chang Gung Memorial Hospital at Linkou
  • No 5 Fuxing Street
  • Guishan District
  • Taoyuan City, 333
  • Taiwan
  • Phone: 886 978112962
  • Fax: 886 33281200
  • Email: mdhsinyaowang@gmail.com