Sparse multi-output Gaussian processes for online medical time series prediction.

Li-Fang ChengBianca DumitrascuGregory DarnellCorey ChiversMichael DraugelisKai LiBarbara Elizabeth Engelhardt

Published in: BMC medical informatics and decision making (2020)

The MedGP framework is robust and efficient in estimating the temporal dependencies from sparse and irregularly sampled medical time series data for online prediction. The publicly available code is at https://github.com/bee-hive/MedGP .

Keyphrases

healthcare
social media
health information
electronic health record
neural network
big data
machine learning
artificial intelligence
deep learning