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The multiple disease detection system uses data from multiple patient records to predict if a person has god chance of having a disease. It is capable of detecting breast cancer, diabetes, heart, kidney , liver and Parkinson's disease. Trained multiple models for each disease detection.

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gmayuri1904/multiple-disease-detection

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Multiple Disease Detection

streamlit-app-2022-12-03-01-12-61 (online-video-cutter com) (1)




Demo

Live app

Dataset Used

  1. Breast Cancer: Winconsin Breast Cancer Dataset
  2. Diabetes: Pima Indian Diabetes Dataset
  3. Liver: Indian Patient Liver Records
  4. Heart: Heart Disease Dataset
  5. Kidney: Chronic Kidney Disease Dataset
  6. Parkinson's Disease:Parkinsons Disease Data Set

Libraries Used:

  1. Sci-kit Learn
  2. Streamlit
  3. Pickle

This Project is peployed on heroku.

Tests Available:

  1. Breast Cancer
  2. Diabetes
  3. Heart
  4. Kidney
  5. Liver
  6. Parkinson's

About

The multiple disease detection system uses data from multiple patient records to predict if a person has god chance of having a disease. It is capable of detecting breast cancer, diabetes, heart, kidney , liver and Parkinson's disease. Trained multiple models for each disease detection.

Topics

python machine-learning random-forest python3 supervised-learning ensemble-model streamlit

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