Head and Tail Entity Fusion Model in Medical Knowledge Graph Construction: Case Study for Pituitary Adenoma.

An Fang Pei Lou Jiahui Hu Wanqing Zhao Ming Feng Huiling Ren Xianlai Chen

Published in: JMIR medical informatics (2021)

This paper introduces an approach to fuse triples extracted from heterogeneous data sources, which can be used to build a knowledge graph. The evaluation results showed that the data in the KGPA are of high quality. The constructed KGPA can help physicians in clinical practice.

Keyphrases

healthcare
clinical practice
electronic health record
big data
primary care
convolutional neural network
wastewater treatment
neural network
drinking water
machine learning
growth hormone
clinical evaluation