Physician.Ai

Hi 👋, This project illustrates using AI in healthcare.

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Applications

Brain Tumor

• Brain Tumor Dataset

• Jupyter Notebook

• Accuracy: 81%

  
  
  

Heart Disease Prediction

• Heart Disease Dataset

• Jupyter Notebook

• Accuracy: 99%

  
  
  

Breast Cancer Prediction

• Breast Cancer Dataset

• Jupyter Notebook

• Accuracy: 94%

  
  
  

Hepatitis Disease Prediction

• Hepatitis Dataset

• Jupyter Notebook

• Accuracy: 98%

  
  
  

Skin Cancer Detection

• Skin Cancer Dataset

• Jupyter Notebook

• Accuracy: 86%

  
  
  

Diabetes Prediction

• Diabetes Dataset

• Jupyter Notebook

• Accuracy: 82%

  
  
  

Ocular Disease Detection

• Ocular Dataset

• Jupyter Notebook

• Accuracy: 94%

  
  
  

Liver Disease Prediction

• Liver Disease Dataset

• Jupyter Notebook

• Accuracy: 79%

  
  
  

Stroke Disease

• Stroke Disease Dataset

• Jupyter Notebook

• Accuracy: 99%

  
  
  

Lung Cancer

• Lung cancer Dataset

• Jupyter Notebook

• Accuracy: 86%

  
  
  

Kidney Disease Prediction

• Kidney Disease Dataset

• Jupyter Notebook

• Accuracy: 97%

  
  
  

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Used Tools And Technology

• Visual Studio, Atom, PyCharm, Jupyter Notebook
• Python
• Flask
• Numpy
• Pandas
• Matplotlib
• Seaborn
• Sklearn
• ML Algorithms
• Xgboos
• Joblib
• Pickle
• Tensorflow
• Transfer Learning Algorithms
• cv2
• PIL
• os

Installation

  pip install -r requirements.txt

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Steps Involeved In Projects

• Import libraries
• Get the Dataset
• EDA
  • Check The dataset rows and columns along with data types
  • Check the null values
  • Check whether balance or imbalance dataset
  • Check the outliers
  • Check the relationship of features
• Feature Engineering
  • Handling missing values
  • Handling imbalance dataset
  • Handling outliers
• Feature Selection
• Train different Model and select the best one
• Test the model
• Save the model

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This repository was created by:

• Fraidoon Omarzai

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