GitHub - AdamCharron/Bayesian_Networks: Implementation of a variable elimination algorithm, and mapping possible treatments to outcomes in a medical decision support system application. Written in Python.

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Implementation of a variable elimination algorithm, and mapping possible treatments to outcomes in a medical decision support system application. Written in Python.

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Name		Name	Last commit message	Last commit date
Latest commit History 3 Commits
__pycache__		__pycache__
BayesianNetwork.py		BayesianNetwork.py
DecisionSupport.py		DecisionSupport.py
MedicalBayesianNetwork.py		MedicalBayesianNetwork.py
README.txt		README.txt
VariableElimination.py		VariableElimination.py
part_1_tester.py		part_1_tester.py
part_2_tester.py		part_2_tester.py

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Bayesian Networks Assignment for an AI course

Two parts:
1. The implementation of the variable elimination algorithm
2. Adapting the variable elimination algorithm to map possible treatments to outcomes in a medical
decision support system application

Wrote two files:
VariableElimination.py
DecisionSupport.py

Support files:
BayesianNetwork.py
MedicalBayesianNetwork.py

Test files (contain test cases):
part_1_tester.py
part_2_tester.py

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Implementation of a variable elimination algorithm, and mapping possible treatments to outcomes in a medical decision support system application. Written in Python.

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