A chronological pharmacovigilance network analytics approach for predicting adverse drug events
ConclusionWhile network analysis and ML techniques were used in separation in prior ADE studies, our results showed that they, in combination with each other, can boost the power of one another and predict better. Moreover, our results highlight the superior capability of ensemble-type ML methods in capturing drug-ADE patterns compared to the regular (ie, singular), ML algorithms.
Source: Journal of the American Medical Informatics Association - Category: Information Technology Source Type: research