Analysis and Early Prediction of Sepsis using Clinical Data

Objective

Goal of the analysis is the early detection of sepsis using physiological data.

The early prediction of sepsis is potentially life-saving, and we aim to predict sepsis 6 hours before the clinical prediction of sepsis.

Late prediction of sepsis is potentially life-threatening, and also consumes heavy hospital resources.

By predicting sepsis in non-sepsis patients or predicting sepsis very early in sepsis patients consumes limited resources and we can assume the risk of prediction to be minimal but revolutionary.

Things accomplished

1. Analysing Challenge Dataset
2. Preparing the Procedure to approach
3. EDA – handling missing values
4. Feature Engineering
5. EDA – Handling Dataset Imbalance
6. Choosing appropriate accuracy metric
7. Trainin using many ML models

Please email me for the feature engineering training and testing datasets.

Thank you for visiting! :)