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Liver Disease prediction using binary classification such as SVM, ANN, or Random Forest. Generate missing data using the MICE algorithm. Use SMOTE to oversample minority class to reduce biases towards majority class. ROC analysis and k-fold Cross-validation Hypothesis tests were done. Data Source: UCI Machine Learning Repository

License: MIT License

Python 100.00%
machine-learning statistics heathcare diagnosis

liver_disease_detection_by_machine_learning's Introduction

  • ๐Ÿ‘‹ Hi, Iโ€™m Fahad from TEXAS TECH.
  • ๐Ÿ‘€ Iโ€™m interested in Optimization / Machine Learning/ Statistics
  • ๐ŸŒฑ Iโ€™m currently learning Machine Learning and Statistics
  • ๐Ÿ’ž๏ธ Iโ€™m looking to collaborate on Academic Research Projects
  • ๐Ÿ“ซ How to reach me? thru my Email: [email protected]

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