Fig 1.
The emergency readmission rates in the United Kingdom Source: https://www.nuffieldtrust.org.uk/resource/emergency-readmissions, Copyright Nuffield Trust & the Health Foundation.
Access on 22/12/204.
Table 1.
Authors, Description & Metric Scores.
Fig 2.
Proposed framework.
Fig 3.
MIMIC-IV database schema and No of records.
Fig 4.
Data pre-processing framework.
Table 2.
Handling missing value.
Fig 5.
Imbalance datasets (counts of patients).
Fig 6.
Balance dataset and distribution of readmission outcome.
Fig 7.
Distribution of numerical features.
Fig 8.
Correlation matrix of features.
Fig 9.
Distribution of demographic features.
Fig 10.
Distribution of socio economic features.
Fig 11.
Combined text length distribution.
Table 3.
ClinicalT5 parameters.
Table 4.
Neural network model description.
Table 5.
Model training parameters.
Table 6.
PubMedBERT training parameters.
Fig 12.
PubMedBERT AUROC Curve (left) and PubMedBERT Precision-Recall Curve (right).
Fig 13.
PubMedBERT confusion matrix.
Fig 14.
Neural network performance evaluation curves.
Fig 15.
Neural network confusion matrix.
Fig 16.
Extreme gradient boosting classifier performance evaluation curves.
Fig 17.
Extreme gradient boosting classifier confusion matrix.
Fig 18.
Light gradient boosting classifier performance evaluation curves.
Fig 19.
Light gradient boosting confusion matrix.
Fig 20.
Voting classifier performance evaluation curves.
Fig 21.
Voting classifier confusion matrix.
Table 7.
Performance metrics of different models.
Fig 22.
Model comparison across multiple metrics with bar chart.
Fig 23.
Model comparison across multiple metrics with line chart.
Fig 24.
Confusion matrices for all models.