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This repository have two different exercises in erlang:
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This repository have two different exercises in erlang:
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**1.**Decision tree that maximizes the optimal point and consequently provides decision support based on the assumptions provided.
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**1.Decision tree that maximizes the optimal point and consequently provides decision support based on the assumptions provided.**
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* The probability of making a medication/treatment 1 and use is OK of 42%;
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* The probability of making a medication/treatment 1 and use is OK of 42%;
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* One possibility of making a medication/treatment 1 and of the user staying KO is 22.5%;
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* One possibility of making a medication/treatment 1 and of the user staying KO is 22.5%;
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**2.**There are ways to get the probabilities knowing certain parameters (they do not indicate the optimal point, but calculate a probability of success depending on the existing resources) - using the baysian networks.
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**2.There are ways to get the probabilities knowing certain parameters (they do not indicate the optimal point, but calculate a probability of success depending on the existing resources) - using the baysian networks.**
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What is the probability of giving the patient M2 and is OK, knowing that:
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What is the probability of giving the patient M2 and is OK, knowing that:
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