Clinical Data Extraction and Normalization of Cyrillic Electronic Health Records Via Deep-Learning Natural Language Processing

Lignende værker

• Validation of deep learning natural language processing algorithm for keyword extraction from pathology reports in electronic health records
  af: Kim, Yoojoong, et al.
  Udgivet: (2020)
• A natural language processing and deep learning approach to identify child abuse from pediatric electronic medical records
  af: Annapragada, Akshaya V., et al.
  Udgivet: (2021)
• Natural language processing and machine learning to enable automatic extraction and classification of patients’ smoking status from electronic medical records
  af: Caccamisi, Andrea, et al.
  Udgivet: (2020)
• Use of Natural Language Processing to Extract Clinical Cancer Phenotypes from Electronic Medical Records
  af: Savova, Guergana K., et al.
  Udgivet: (2019)
• Extracting Family History Information From Electronic Health Records: Natural Language Processing Analysis
  af: Rybinski, Maciej, et al.
  Udgivet: (2021)