Predicting Hepatocellular Carcinoma With Minimal Features From Electronic Health Records: Development of a Deep Learning Model.

Chia-Wei Liang Hsuan-Chia Yang Md Mohaimenul Islam Phung Anh Alex Nguyen Yi Ting Feng Ze Yu Hou Chih-Wei Huang Tahmina Nasrin Poly Yu Chuan Jack Li

Published in: JMIR cancer (2021)

The findings of this study show that the convolutional neural network model has immense potential to predict the risk of HCC 1 year in advance with minimal features available in the electronic health records.

Keyphrases

electronic health record
convolutional neural network
deep learning
clinical decision support
adverse drug
artificial intelligence
machine learning
risk assessment
climate change
human health
drug induced