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Quantifying the Severity of Adverse Drug Reactions Using Social Media: Network Analysis

Quantifying the Severity of Adverse Drug Reactions Using Social Media: Network Analysis

(B) Crowdworker severity estimates (x-axis) versus SAEDR scores (y-axis) for a test set of 591 ADRs. The SAEDR scores showed a strong Spearman correlation, ρ=0.735, with the human crowdworker rankings. We noted that this correlation is greater than the interrater correlation, ρ=0.71, reported in the original crowdsource study by Gottlieb et al [8]. A select set of the least and most severe ADRs based on the SAEDR score has been annotated.

Adam Lavertu, Tymor Hamamsy, Russ B Altman

J Med Internet Res 2021;23(10):e27714

Ranking Adverse Drug Reactions With Crowdsourcing

Ranking Adverse Drug Reactions With Crowdsourcing

It was also constructed to maximize the number of pairs that can be tested for triangular inequality (ie, for ADRs A, B, and C, test A vs B, B vs C, and A vs C). Each task, consisting of 10 pairwise comparisons, took 5 minutes to complete on average, yielding US $0.45 per worker (half a dollar including Amazon’s fee). The entire ranking totaled in 146 person days at a cost of US $6,300. A more detailed description and worker statistics are found in Multimedia Appendix 3.

Assaf Gottlieb, Robert Hoehndorf, Michel Dumontier, Russ B Altman

J Med Internet Res 2015;17(3):e80