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Predicting Postoperative Mortality With Deep Neural Networks and Natural Language Processing: Model Development and Validation.

Pei-Fu ChenLi-Chin ChenYow-Kuan LinGuo-Hung LiFeipei LaiCheng-Wei LuChi-Yu YangKuan-Chih ChenTzu-Yu Lin
Published in: JMIR medical informatics (2022)
Our BERT-DNN model has an AUPRC significantly higher compared to previously proposed models using no text and an AUROC significantly higher compared to logistic regression and the ASAPS. This technique helps identify patients with higher risk from the surgical description text in EHRs.
Keyphrases
  • neural network
  • smoking cessation
  • patients undergoing
  • risk factors
  • cardiovascular disease
  • coronary artery disease