padhma / liver-disease-prediction

This project aims to predict liver disease in Indian patients

Liver Disease Prediction

Read this article to know how this project was created from scratch.

-- Project Status: [Active]

Project Intro/Objective

People with Liver disease are dramatically increasing due to excessive consumption of alcohol, inhale of harmful gases, intake of contaminated food, drugs, etc. This project aims to predict the onset of the disease.

About data

The data for this project was obtained from Kaggle.This data set contains 416 liver patient records and 167 non liver patient records collected from North East of Andhra Pradesh, India. The "Dataset" column is a class label used to divide groups into liver disease patient or not. This data set contains 441 male patient records and 142 female patient records.

Methodologies Used:

• Data Cleaning and Data Preprocessing
• Explatory Data Analysis
• Data Visualization
• Machine Learning - Supervised Learning Algorithms
  • Decision Trees
  • K Nearest Neighbors
  • Logistic Regression
  • Support Vector Machines
• Evaluation Metrics
  • Jaccard Index
  • F1-Score
  • Log Loss

Technologies utilized:

• Anaconda
• Jupyter
• Python
• Pandas
• NumPy
• Matplotlib
• Seaborn
• scikit-learn

Needs of this project:

• Data Exploration/Descriptive Statistics
• Data Preprocessing/Cleaning
• Statistical Modeling
• Machine Learning - Supervised Learning Approach
• Wrtiteup/Reporting