Pharmacovigilance

Spontaneous Reporting Analysis

Reporting Odds Ratio

class PharmacovigilanceAnalyzer:
    def compute_ror(self, a, b, c, d):
        if b == 0 or c == 0: return float('inf')
        return (a * d) / (b * c)

    def compute_chi_square(self, a, b, c, d):
        n = a + b + c + d
        expected = [(a+b)*(a+c)/n, (a+b)*(b+d)/n, (c+d)*(a+c)/n, (c+d)*(b+d)/n]
        return sum((o - e)**2 / e for o, e in zip([a, b, c, d], expected))

Disproportionality Analysis

Bayesian Confidence Propagation

Multi-Drug Interactions

Safety Signal Mining

Text Mining of Case Reports