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 , TW

2 Department of Information Management, Chang Gung University , Taoyuan City , TW

3 Department of Electrical and Computer Engineering, University of Utah , Salt Lake City, UT, US

4 Department of Computer Science and Information Engineering, National Central University , Taoyuan City , TW

5 Graduate Institute of Biomedical Engineering, Chang Gung University , Taoyuan City , TW

6 Department of Information Management, National Central University , Taoyuan City , TW

*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
  • TW
  • Phone: 886 978112962
  • Email: mdhsinyaowang@gmail.com