Survey on Effective Signaling of Adverse Drug Reactions in Health Database

Adverse drug reactions, concerned with unintended responses to a medicinal product. The phrase “responses to a medicinal product” means that a causal relationship between a medicinal product and an adverse event is at least a reasonable possibility. Various algorithms which are used to signal adverse drug reactions are considered. The Mining Unexpected Temporal Association Rules (MUTAR) algorithm is proposed for generating Unexpected Temporal Association Rules without giving the antecedent or the consequent. Mining Unexpected Temporal Association Rules given the Consequent (MUTARC) Algorithm used to shortlist a medicine when symptom is given. A new interestingness measure, residual-leverage is introduced to handle unexpectedness. MUTARA (Mining Unexpected Temporal Association Rule Antecedent) Algorithm is used to shortlist symptoms when medicine is given. To handle the unexpectedness a new interestingness measure, unexpected-leverage is introduced and a user-based exclusion technique is given for its calculation.