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Evaluating Drug-Adverse Event Causality Based on an Integration of Heterogeneous Drug Safety Causality Models
Evaluating Drug-Adverse Event Causality Based on an Integration of Heterogeneous Drug Safety Causality Models
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机译:基于异构药物安全性因果关系模型集成的药物不良事件因果关系评估
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摘要
Mechanisms are provided that implement a plurality of heterogeneous causality models and a metaclassifier for predicting a likelihood of causality between a drug and an adverse event (AE). The plurality of heterogenous causality models process drug information for the drug to generate a plurality of risk predictions for a drug and AE pair. The risk predictions include at least one of a risk score or a risk label indicating a probability of the AE occurring with use of the drug. The plurality of heterogenous causality models provide the risk predictions, associated with the drug and AE pair, to a metaclassifier which generates a single causality score value indicative of a probability of causality between the drug and the AE, of the drug and AE pair, based on an aggregation of the risk predictions from the plurality of heterogenous causality models. The metaclassifier outputs the single causality score value in association with information identifying the drug and AE pair.
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