EMR-based medical knowledge representation and inference via Markov random fields and distributed representation learning

作者：

Highlights：

• A general EMR-based clinical decision support system was developed.

• The Markov random field was adopted for inference, and a learning algorithm for arbitrary derivable energy functions was derived.

• The representation learning methods were applied to obtain the medical entity representation.

摘要

•A general EMR-based clinical decision support system was developed.•The Markov random field was adopted for inference, and a learning algorithm for arbitrary derivable energy functions was derived.•The representation learning methods were applied to obtain the medical entity representation.

论文关键词：Electronic medical record,Clinical decision support,Medical knowledge network,Markov random field,Distributed representation

论文评审过程：Received 22 May 2017, Revised 28 February 2018, Accepted 29 March 2018, Available online 23 April 2018, Version of Record 28 May 2018.

论文官网地址：https://doi.org/10.1016/j.artmed.2018.03.005