Comparison of Signal Detection Algorithms Based on Frequency Statistical Model for Drug-Drug Interaction Using Spontaneous Reporting Systems

[11] Fram D(2003)Practical pharmacovigilance analysis strategies Pharmacoepidemiol Drug Saf 12 559-465

[12] Vilar S(2004)Comparison of data mining methodologies using Japanese spontaneous reports Pharmacoepidemiol Drug Saf 13 387-750

[13] Friedman C(2014)Commonality of drug-associated adverse events detected by 4 commonly used data mining algorithms Int J Med Sci 11 461-601

[14] Hripcsak G(2019)A comparison study of algorithms to detect drug-adverse event associations: Frequentist, Bayesian, and machine-learning approaches Drug Saf 42 743-481

[15] Noguchi Y(2019)HLA-B*58:01 genotyping to prevent cases of DRESS and SJS/TEN in east Asians treated with allopurinol-a Canadian missed opportunity J Cutan Med Surg 23 595-125

[16] Tachi T(2012)Treatment of toxic epidermal necrolysis with intravenous immunoglobulin: a series of three cases An Bras Dermatol 87 477-undefined

[17] Teramachi H(2016)Prevention of antipsychotic-induced hyperglycaemia by vitamin D: a data mining prediction followed by experimental exploration of the molecular mechanism Sci Rep 6 26375-undefined

[18] Norén GN(2020)Drug interactions between tacrolimus and clotrimazole troche: a data mining approach followed by a pharmacokinetic study Eur J Clin Pharmacol 76 117-undefined

[19] Sundberg R(undefined)undefined undefined undefined undefined-undefined

[20] Bate A(undefined)undefined undefined undefined undefined-undefined

[11] Fram D(2003)Practical pharmacovigilance analysis strategies Pharmacoepidemiol Drug Saf 12 559-465

[12] Vilar S(2004)Comparison of data mining methodologies using Japanese spontaneous reports Pharmacoepidemiol Drug Saf 13 387-750

[13] Friedman C(2014)Commonality of drug-associated adverse events detected by 4 commonly used data mining algorithms Int J Med Sci 11 461-601

[14] Hripcsak G(2019)A comparison study of algorithms to detect drug-adverse event associations: Frequentist, Bayesian, and machine-learning approaches Drug Saf 42 743-481

[15] Noguchi Y(2019)HLA-B*58:01 genotyping to prevent cases of DRESS and SJS/TEN in east Asians treated with allopurinol-a Canadian missed opportunity J Cutan Med Surg 23 595-125

[16] Tachi T(2012)Treatment of toxic epidermal necrolysis with intravenous immunoglobulin: a series of three cases An Bras Dermatol 87 477-undefined

[17] Teramachi H(2016)Prevention of antipsychotic-induced hyperglycaemia by vitamin D: a data mining prediction followed by experimental exploration of the molecular mechanism Sci Rep 6 26375-undefined

[18] Norén GN(2020)Drug interactions between tacrolimus and clotrimazole troche: a data mining approach followed by a pharmacokinetic study Eur J Clin Pharmacol 76 117-undefined

[19] Sundberg R(undefined)undefined undefined undefined undefined-undefined

[20] Bate A(undefined)undefined undefined undefined undefined-undefined