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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

Termin

Datum: Fr., 24 Mai

Zeit: 13:15 – 13:15

Redezeit: 0 Min.

Diskussionszeit: 0 Min.

Ort / 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

Session

Thema

Big data projects

Mitwirkende

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)