Idiopathic Acute Liver Injury in Paediatric Outpatients: Incidence and Signal Detection in Two European Countries

By C. Ferrajolo, K. Verhamme, G. Trifirò, G. ’. 't Jong, C. Giaquinto, G. Picelli, A. Oteri, S. Bie, V. Valkhoff, M. Schuemie and 5 more. 2013

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Natural Language Processing for EHR-Based Computational Phenotyping (2018, methodology): “explored other methods such as random forests [112], decision trees [100], [113], [131], [132], and the Longitudinal Gamma Poisson Shrinker [133], [134] for computational phe-”
Natural Language Processing for EHR-Based Pharmacovigilance: A Structured Review (2017, background): “Ferrajolo et al. [29, 30] used Longitudinal Gamma Poisson Shrinker (LGPS) [83] to calculate incidence rate-based statistics and to identify drug-induced acute liver injury, where LGPS used person time rather than case counts for the estimation of the expected number of adverse events.”
Signal Detection of Potentially Drug-Induced Acute Liver Injury in Children Using a Multi-Country Healthcare Database Network (2014, unknown): “Finally, data mining on EHR databases detected associations for several drugs already widely known as hepatotoxic in both adults and children [33].”