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Predictive and Causal Implications of using Shapley Value for Model Interpretation
Sisi Ma
,
Roshan Tourani
Institute for Health Informatics
Office of Academic Clinical Affairs
Research output
:
Contribution to journal
›
Conference article
›
peer-review
26
Scopus citations
Overview
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Keyphrases
Model Interpretation
100%
Shapley Value
100%
Targets of Interest
11%
Machine Learning Techniques
11%
Predictive Modeling
11%
Game Theory
11%
Causal Relationship
11%
Performance Prediction
11%
Feature Selection
11%
Model Complexity
11%
Conditional Independence
11%
Causal Modeling
11%
Bayesian Network
11%
Network Framework
11%
Interpretation Tools
11%
Mathematical Definitions
11%
Psychology
Causal Modeling
100%
Predictive Modeling
100%
Game Theory
100%
Biochemistry, Genetics and Molecular Biology
Causal Modeling
100%
Feature Extraction
100%