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Mortality Prediction On Mimic Iii

Metrics

Accuracy

Results

Performance results of various models on this benchmark

Model Name
Accuracy
Paper TitleRepository
LSTM+SA (pretrained)0.8298MeDAL: Medical Abbreviation Disambiguation Dataset for Natural Language Understanding Pretraining
K-NN-Early hospital mortality prediction using vital signals
ELECTRA (pretrained)0.8443MeDAL: Medical Abbreviation Disambiguation Dataset for Natural Language Understanding Pretraining
Decision Tree-Early hospital mortality prediction using vital signals
ELECTRA (from scratch)0.8325MeDAL: Medical Abbreviation Disambiguation Dataset for Natural Language Understanding Pretraining
Gaussian SVM-Early hospital mortality prediction using vital signals
Linear Discriminant-Early hospital mortality prediction using vital signals
LSTM (pretrained)0.828MeDAL: Medical Abbreviation Disambiguation Dataset for Natural Language Understanding Pretraining
Logistic regression-Early hospital mortality prediction using vital signals
Boosted Trees-Early hospital mortality prediction using vital signals
LSTM+SA (from scratch)0.7996MeDAL: Medical Abbreviation Disambiguation Dataset for Natural Language Understanding Pretraining
Random Forest-Early hospital mortality prediction using vital signals
Linear SVM-Early hospital mortality prediction using vital signals
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