Optimal hyperparameter values for each ML model.

ESPH—χ and ESPH—CNOP refer to the optimal hyperparameter values of the ML model under single-element and four-element-combined dataset respectively.

Figshare2020-08-21 更新10

Best test set performance for each ML model using the optimal hyperparameter values for dataset and ML model.

PSSM stands for Position Specific Scoring Matrix, which is the benchmark performance by Guruge et al. [27].

Figshare2020-08-21 更新20

Optimal hyperparameters selected for each model.

Introduction Burn injuries are a major global health challenge. Predicting mortality in burn patients using data mining can enhance therapeutic decision-making, but the long-term reliability of such m

NIAID Data Ecosystem10