activity
20172022
most citedEMR-based medical knowledge representation and inference via Markov random fields and distributed representation learning

2 citations · 4 across the 4 of their papers we have counts for

collaborators

5 papers

cs.AI2022

Causal Coupled Mechanisms: A Control Method with Cooperation and Competition for Complex System

Xuehui Yu, Jingchi Jiang, Xinmiao Yu +2

Complex systems are ubiquitous in the real world and tend to have complicated and poorly understood dynamics. For their control issues, the challenge is to guarantee accuracy, robu…

cs.AI2018

Medical Knowledge Embedding Based on Recursive Neural Network for Multi-Disease Diagnosis

Jingchi Jiang, Huanzheng Wang, Jing Xie +3

The representation of knowledge based on first-order logic captures the richness of natural language and supports multiple probabilistic inference models. Although symbolic represe…

cs.CL20171 cited

De-identification of medical records using conditional random fields and long short-term memory networks

Zhipeng Jiang, Chao Zhao, Bin He +2

The CEGS N-GRID 2016 Shared Task 1 in Clinical Natural Language Processing focuses on the de-identification of psychiatric evaluation records. This paper describes two participatin…

cs.AI20172 cited

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

Chao Zhao, Jingchi Jiang, Yi Guan

Objective: Electronic medical records (EMRs) contain an amount of medical knowledge which can be used for clinical decision support (CDS). Our objective is a general system that ca…

cs.AI20171 cited

Learning and inference in knowledge-based probabilistic model for medical diagnosis

Jingchi Jiang, Chao Zhao, Yi Guan +1

Based on a weighted knowledge graph to represent first-order knowledge and combining it with a probabilistic model, we propose a methodology for the creation of a medical knowledge…