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Machine Learning Models of Survival Prediction in Trauma Patients.

Cheng-Shyuan RauShao-Chun WuJung-Fang ChuangChun-Ying HuangHang-Tsung LiuPeng-Chen ChienChing-Hua Hsieh
Published in: Journal of clinical medicine (2019)
These four models (LR, SVM, NN, and TRISS) exhibited a similar high accuracy and sensitivity in predicting the survival of the trauma patients. In the test dataset, the NN model had the highest balanced accuracy and predictive specificity.
Keyphrases
  • trauma patients
  • machine learning
  • free survival
  • artificial intelligence
  • structural basis