https://github.com/Surya-Prakash-Reddy/Breast-Cancer-Prediction

Predicts whether the type of breast cancer is Malignant or Benign
https://github.com/Surya-Prakash-Reddy/Breast-Cancer-Prediction

breast-cancer breast-cancer-classification breast-cancer-prediction breast-cancer-wisconsin flask flask-application svm svm-classifier

Last synced: about 2 months ago
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Predicts whether the type of breast cancer is Malignant or Benign

• Host: GitHub
• URL: https://github.com/Surya-Prakash-Reddy/Breast-Cancer-Prediction
• Owner: Surya-Prakash-Reddy
• Created: 2018-08-31T17:14:46.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2019-06-24T08:34:49.000Z (over 5 years ago)
• Last Synced: 2024-08-04T10:01:28.878Z (5 months ago)
• Topics: breast-cancer, breast-cancer-classification, breast-cancer-prediction, breast-cancer-wisconsin, flask, flask-application, svm, svm-classifier
• Language: HTML
• Homepage:
• Size: 58.6 KB
• Stars: 0
• Watchers: 1
• Forks: 3
• Open Issues: 1
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

• awesome-ai-cancer - Surya-Prakash-Reddy/Breast-Cancer-Prediction - ANN and SVN classifiers for the Wisconsin dataset written in Python (Code / Repositories)

README

        






------------

# Breast Cancer Prediction

> Predicts whether the type of breast cancer is Malignant or Benign

## Table of contents

* [About Project](#about-project)

* [Languages or Frameworks Used](#languages-or-frameworks-used)

* [Setup](#setup)

## About Project:

Breast cancer is the most common type of cancer in women. When cancers are found early, they can often be cured. 

There are some devices that detect the breast cancer but many times they lead to false positives, which results 

is patients undergoing painful, expensive surgeries that were not even necessary. These type of cancers are called 

**benign** which do not require surgeries and we can reduce these unnecessary surgeries by using Machine Learning. 

We take a dataset of the previous breast cancer patients and train the model to predict whether the cancer is **benign** or **malignant**. These predictions will help doctors to do surgeries only when the cancer is malignant, thus reducing the unnecessary surgeries for woman. 

For building the project we have used Wisconsin Breast cancer data which has 569 rows of which 357 are benign and 212 are malignant. 

The data is prepossessed and scaled. We have trained both ANN and SVM and SVM gives best accuracy of 98.2%. To provide the easy to

use interface to doctors we have developed a website that will take the data and display the output with accuracy and time taken 

to predict.

## Languages or Frameworks Used 

  * Python: language

  * NumPy: library for numerical calculations

  * Pandas: library for data manipulation and analysis

  * SkLearn: library which features various classification, regression and clustering algorithms

  * Flask: microframework for building web applications using Python.

  

## Setup

  

  To use this project, clone the repo

  

  ### Clone

  ```

    git clone https://github.com/Surya-Prakash-Reddy/Breast-Cancer-Prediction.git

  ```

  

  After cloning, using the command prompt, go to the project directory and run `python app.py` to start the web server. Now you can go to link which was displayed in command prompt to access the web application. Firstly, make sure you have installed all necessary libraries or packages installed on your system.