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This is a Machine Learning and Deep Learning project that can predict the chances of getting diseases like Heart_Failure, Diabetes, Malaria and Tuberculosis.

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Health-Care-web_app

This is a Classification type Machine Learning and Deep Learning project that can predict the chances of getting diseases like Heart_Failure, Diabetes, Malaria and Tuberculosis.

  • Heart_Failure and Diabetes prediction used Machine Learning Model
  • Malaria and Tuberculosis prediction used Deep Learning Model where it utilised malaria parasitised cells and chest x-rays images.
    Screenshot 2021-04-26 at 1 20 08 PM

About Datasets and Models:

1. Heart_Failure :

Link to Heart_Failure dataset
Screenshot 2021-05-05 at 1 36 45 PM Target variable is DEATH_EVENT which is boolean-type
Heart_Failure.ipynb
Model Used : Random Forest with GridSearch and hyper parameter tuning

2. Diabetes :

Link to Diabetes dataset
Screenshot 2021-05-05 at 2 48 40 PM
Diabetes.ipynb
Model Used : Xgboost

3. Malaria :

Malaria image_data
Screenshot 2021-05-05 at 2 56 29 PM
Malaria.ipynb
Model Used : InceptionV3 model of Transfer Learning

4. Tuberculosis :

Tuberculosis iamge_data
Screenshot 2021-05-05 at 2 59 33 PM
Tuberculosis.ipynb
Model Used : InceptionV3 model of Transfer Learning

Tools Used :

  • Python (3.8 version)
  • Flask
  • Sci-kit learn
  • Tensorflow
  • Pandas
  • Numpy
  • Pickle
  • HTML and CSS

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This is a Machine Learning and Deep Learning project that can predict the chances of getting diseases like Heart_Failure, Diabetes, Malaria and Tuberculosis.

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