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Assignment for the AI for Medicine Specialization course.(1:Build and Evaluate a Linear Risk model/ 2:Risk Models Using Tree-based Models/ 3:Survival Estimates that Varies with Time/ 4:Cox Proportional Hazards and Random Survival Forests)

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cox-proportional-hazards tree risk-models coursera ai medical prognosis

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【AI-for-Medical-Prognosis】

★Project1:Build and Evaluate a Linear Risk model

  1. Data preprocessing
    -Log transformations
    -Standardization
  2. Basic Risk Models
    -Logistic Regression
    -C-index
    -Interactions Terms

★Project2:Risk Models Using Tree-based Models

  1. Dealing with Missing Data
    -Complete Case Analysis
    -Imputation
  2. Decision Trees
    -Evaluation
    -Regularization
    3.Random Forests
    -Hyperparameter Tuning

★Project3:Survival Estimates that Varies with Time

  1. Censored Data
  2. Kaplan-Meier Estimates
  3. Subgroup Analysis

★Projects4:Cox Proportional Hazards and Random Survival Forests

  1. Cox Proportional Hazards
    -Data Preprocessing for Cox Models
  2. Random Survival Forests
    -Permutation Methods for Interpretation

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