This paper is in the following e-collection/theme issue:

Clinical Informatics (908) Machine Learning (1378) Tools, Programs and Algorithms (242) Artificial Intelligence (1192) Big Data (217) New Methods (906) Clinical Information and Decision Making (1320) Secondary Use of Clinical Data for Research and Surveillance (319) Hygiene and Infection Prevention (297)

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

Authors of this article:

Jia-Ruei Yu1 Author Orcid Image ;   Chun-Hsien Chen1, 2 Author Orcid Image ;   Tsung-Wei Huang3 Author Orcid Image ;   Jang-Jih Lu1 Author Orcid Image ;   Chia-Ru Chung4 Author Orcid Image ;   Ting-Wei Lin1 Author Orcid Image ;   Min-Hsien Wu5 Author Orcid Image ;   Yi-Ju Tseng6 Author Orcid Image ;   Hsin-Yao Wang1, 5 Author Orcid Image
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