This repository contains all codes used in my final year project, titled Building an Interpretable Intensive Care Unit Mortality Risk Calculator. The data is obtained from MIMIC critical care database. Please see: https://mimic.physionet.org
Generating Dataset.ipynb - Code to extract data from the database
Data Preprocessing.ipynb - Code to clean and preprocess extracted data
Logistic Regression v5.ipynb - Code for logistic regression model
Decision Tree Classifier v3.ipynb - Code for decision tree model
Random Forest v1.ipynb - Code for random forest model
K-Nearest Neighbour v1.ipynb - Code for k-nearest neighbour model
Multi-Layered Perceptron v2.ipynb - Code for multi-layered perceptron model
Test Sample Analysis v2.ipynb - Code for interpreting all 5 models through some test cases
Preprint - Published onto arxiv on 19th January 2021. Link: https://arxiv.org/abs/2101.07426
Submitted to 43rd Annual International Conference of the IEEE EMBC 2021 on 19th February 2021
Accepted by 43rd Annual International Conference of the IEEE EMBC 2021 on 16th July 2021
Presented to 43rd Annual International Conference of the IEEE EMBC 2021 on 1-5th Nov 2021
Link: https://ieeexplore.ieee.org/document/9631058
I would like to thank Associate Professor Tan Yan Fu, Vincent, Dr. Milashini Nambiar and Dr. Soh Yong Sheng for their supervision on this project. Special mention to Dr. Pavitra Krishnaswamy for comments on the manuscript.
Please feel free to drop me a comment or pull a request if there are any suggestions.