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Prediction of serum creatinine levels based on different biological parameters

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Serum creatinine level prediction based on heart failure clinical data

The dataset used in the following analysis can be found here

The notebook contains:

  • Analysis of the heart failure clinical records.
  • Performing regression using different models including:
    • Linear regression
    • MLP
  • The regularization parameter and hidden layers number was tuned.
  • Models were tested and compared to the baseline - dummy regressor
  • T-test statistical comparison was used to evaluate the trained models

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Prediction of serum creatinine levels based on different biological parameters

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