Combining structured and unstructured data for predictive models: a deep learning approach.

Dongdong ZhangChangchang YinJucheng ZengXiaohui YuanPing Zhang

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

The proposed fusion models learn better patient representation by combining structured and unstructured data. Integrating heterogeneous data types across EHRs helps improve the performance of prediction models and reduce errors.

Keyphrases

electronic health record
deep learning
big data
machine learning
case report
patient safety
data analysis
artificial intelligence
convolutional neural network