kaushalsalvatore / health-lab-project Goto Github PK

This is machine learning wep app that used to Predict the health disease like Diabetes, Heart, Kidney, Liver, Breast cancer, Stroke.

Diabetes is a chronic (long-lasting) health condition that affects how your body turns food into energy. Your body breaks down most of the food you eat into sugar (glucose) and releases it into your bloodstream.

The term “heart disease” refers to several types of heart conditions. The most common type of heart disease in the United States is coronary artery disease (CAD), which affects the blood flow to the heart. Decreased blood flow can cause a heart attack.

Chronic kidney disease, also called chronic kidney failure, involves a gradual loss of kidney function. Your kidneys filter wastes and excess fluids from your blood, which are then removed in your urine. Advanced chronic kidney disease can cause dangerous levels of fluid, electrolytes and wastes to build up in your body.

Liver disease doesn't always cause noticeable signs and symptoms. If signs and symptoms of liver disease do occur, they may include: Skin and eyes that appear yellowish (jaundice) Abdominal pain and swelling. Swelling in the legs and ankles.

Breast cancer can occur in women and rarely in men.Symptoms of breast cancer include a lump in the breast, bloody discharge from the nipple and changes in the shape or texture of the nipple or breast.Its treatment depends on the stage of cancer. It may consist of chemotherapy, radiation, hormone therapy and surgery.

A stroke, sometimes called a brain attack, occurs when something blocks blood supply to part of the brain or when a blood vessel in the brain bursts. In either case, parts of the brain become damaged or die. A stroke can cause lasting brain damage, long-term disability, or even death.

• https://health-lab.herokuapp.com/

1. Heart Disease

2. Liver Disease

3. Diabetes Disease

4. Stroke Prediction

5. Breast Cancer Disease

6. Chronic Kidney Disease

• Data Collection
• Data Analysis
• Data Visualization
• Feature Engineering
• Feature Selection
• Model Building
• Model Evalution
• Hyper Parameter Tunning
• Creating Pickle file
• Web App using Flask
• Deployment

python packages: Pandas, Numpy, Scikit-learn, matplotlib

ML Algorithms: GradientBoost,RandomForest

Framework: Flask

frontend: Html, CSS

Clone the project

  git clone https://github.com/KaushalSalvatore/health-lab-project.git

Install dependencies

  pip install -r requirements. txt

Start the local server

  Python server.py or server.py

To deploy this project on github use this following command in the project folder.

Initializing a new repository

  git .init

A gitignore file specifies intentionally untracked files that Git should ignore.

  touch .gitignore

Add all the files

  git add .

Check file status

  git status

Commit all the file on git

  git commit -m "your message"

Push all the code on github

  git push <your_branch_name>

Push code forcefully

  git push origin <your_branch_name> --force

To deploy project on heroku server use this following command.

login in heroku server

  login heroku

Install gunicorn

  pip install gunicorn

Create procfile

  touch Procfile

Create requirements text file

  pip freeze > requirements.txt

Creates a new empty application on Heroku

  heroku create -a "project name"

Add a remote to your local repository

  git remote -v

push the code in heroku master branch

  git push heroku master

if you have any suggetion and feedback and need any kind of project related help reach me out at linkedin