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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)
ai-for-medical-prognosis's Introduction
【AI-for-Medical-Prognosis 】
★Project1:Build and Evaluate a Linear Risk model
Data preprocessing
-Log transformations
-Standardization
Basic Risk Models
-Logistic Regression
-C-index
-Interactions Terms
★Project2:Risk Models Using Tree-based Models
Dealing with Missing Data
-Complete Case Analysis
-Imputation
Decision Trees
-Evaluation
-Regularization
3.Random Forests
-Hyperparameter Tuning
★Project3:Survival Estimates that Varies with Time
Censored Data
Kaplan-Meier Estimates
Subgroup Analysis
★Projects4:Cox Proportional Hazards and Random Survival Forests
Cox Proportional Hazards
-Data Preprocessing for Cox Models
Random Survival Forests
-Permutation Methods for Interpretation
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