Predicting postoperative mortality with deep neural networks and natural language processing: model development and validation

HIGHLIGHTS

• who: Unknown from the Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei, Taiwan have published the research work: Predicting Postoperative Mortality With Deep Neural Networks and Natural Language Processing: Model Development and Validation, in the Journal: (JOURNAL) of December/30,/2020
• what: The authors investigate the effectiveness of unstructured clinical texts (eg, preoperative diagnosis and proposed procedures) in predicting postoperative mortality.
• how: Because reading these descriptions helps anesthesiologists evaluate the risk of the surgery the authors hypothesized that deep learning (DL) models with unstructured text could improve postoperative mortality prediction . . .
  

   

  

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