In this project, I built a FastAPI application that focuses on predicting sepsis using machine learning classification models. After developing the application, I proceeded to contanerie it using Docker.
Below is the dataset description
| Column Name | Attribute/Target | Description |
|---|---|---|
| ID | N/A | Unique number to represent patient ID |
| PRG | Attribute1 | Plasma glucose |
| PL | Attribute 2 | Blood Work Result-1 (mu U/ml) |
| PR | Attribute 3 | Blood Pressure (mm Hg) |
| SK | Attribute 4 | Blood Work Result-2 (mm) |
| TS | Attribute 5 | Blood Work Result-3 (mu U/ml) |
| M11 | Attribute 6 | Body mass index (weight in kg/(height in m)^2 |
| BD2 | Attribute 7 | Blood Work Result-4 (mu U/ml) |
| Age | Attribute 8 | patients age (years) |
| Insurance | N/A | If a patient holds a valid insurance card |
| Sepssis | Target | Positive: if a patient in ICU will develop a sepsis , and Negative: otherwise |