Article

Developing deep learning-based strategies to predict the risk of hepatocellular carcinoma among patients with nonalcoholic fatty liver disease from electronic health records

2023-11-17

Abstract excerpt

<h4>Background</h4> Deep learning models showed great success and potential when applied to many biomedical problems. However, the accuracy of deep learning models for many disease prediction problems is affected by time-varying covariates, rare incidence, and covariate imbalance when using structured electronic health records data. The situation is further exasperated when predicting the risk of one disease on co...

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Literature Corpus work: ffe6e9d0-d8aa-5983-815e-0ad2ede0456f
DOI: 10.1101/2023.11.17.23298691

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