Back
  • Poster presentation
  • P-015

Hierarchical logistic regression in validating stroke outcome prediction models constructed by named entity recognition algorithms-extracted prognostic features from electronic medical records

Appointment

Date:
Time:
Talk time:
Discussion time:
Location / Stream:
Exhibition hall A & B

Poster

Hierarchical logistic regression in validating stroke outcome prediction models constructed by named entity recognition algorithms-extracted prognostic features from electronic medical records

Topic

  • Big data projects

Authors

Kit Ying Lew (Taipei / TW), Jia-Ling Koh (Taipei / TW), Feipei Lai (Taipei / TW), I-Fei Cho (Taipei / TW), Rui-Ze Fang (Taipei / TW), Cheng-Wei Chen (Taipei / TW), Po-Jen Wen (Taipei / TW), Chih-Hao Chen (Taipei / TW), Jiann-Shing Jeng (Taipei / TW), Professor Pei-Fang Tang (Taipei / TW)

    • v1.19.0
    • © Conventus Congressmanagement & Marketing GmbH
    • Imprint
    • Privacy