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

Jia-Ruei Yu Chun-Hsien Chen Tsung-Wei Huang Jang-Jih Lu Chia-Ru Chung Ting-Wei Lin Min-Hsien Wu Yi-Ju Tseng Hsin-Yao Wang

Published in: Journal of medical Internet research (2022)

The XGB algorithm achieved balanced performance levels in terms of AUROC, run time, and energy efficiency for the two clinical laboratory data sets. Considering the energy constraints in real-world scenarios, the XGB algorithm is ideal for medical AI applications.

Keyphrases

artificial intelligence
machine learning
big data
deep learning
electronic health record
climate change
single cell
data analysis