- This project is to predict if the patient has hepatitis or not.
- The ML model has an accuracy up to 88%.
- We used logistic regression model.
- Logistic regression : is a process of modeling the probability of a discrete outcome given an input variable. The most common logistic regression models a binary outcome; something that can take two values such as true/false, yes/no, and so on. so we use logistic regression as we need to know if the patient has hepatitis or not.
-
First page as we descripe the ML model, accuracy and senstivity.
-
Second page as we ask some question to collect some information from the patient (like:name, age, ) to predict the disease.
-
Then Final page we show the prediction.
- Streamlit verion : 1.20.0
- CSS version : 3
- Python version : 3.10.8
- numpy version : 1.22.3
- scikit_learn version: 1.0.2
To run this project, install it locally using pip:
$ cd .."streamlit run app.py"
$ pip install "required_modules"