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Feature engineering and machine learning for causality assessment in pharmacovigilance: Lessons learned from application to the FDA Adverse Event Reporting System
Research article (Computers in Biology and Medicine, 2021) · cited 47× · AI/ML
Feature engineering and machine learning for causality assessment in pharmacovigilance: Lessons learned from application to the FDA Adverse Event Reporting System
Summary
Feature engineering and machine learning for causality assessment in pharmacovigilance: Lessons learned from application to the FDA Adverse Event Reporting System is a scholarly article[1].
Key Facts
Feature engineering and machine learning for causality assessment in pharmacovigilance: Lessons learned from application to the FDA Adverse Event Reporting System's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Feature engineering and machine learning for causality assessment in pharmacovigilance: Lessons learned from application to the FDA Adverse Event Reporting System. Retrieved May 24, 2026, from https://4ort.xyz/entity/feature-engineering-and-machine-learning-for-causality-assessment-in-pharmacovigilance-lessons-learned-from-application-
MLA“Feature engineering and machine learning for causality assessment in pharmacovigilance: Lessons learned from application to the FDA Adverse Event Reporting System.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/feature-engineering-and-machine-learning-for-causality-assessment-in-pharmacovigilance-lessons-learned-from-application-.
BibTeX@misc{4ortxyz_feature-engineering-and-machine-learning-for-causality-assessment-in-pharmacovigilance-lessons-learned-from-application-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Feature engineering and machine learning for causality assessment in pharmacovigilance: Lessons learned from application to the FDA Adverse Event Reporting System}}, year = {2026}, url = {https://4ort.xyz/entity/feature-engineering-and-machine-learning-for-causality-assessment-in-pharmacovigilance-lessons-learned-from-application-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Feature engineering and machine learning for causality assessment in pharmacovigilance: Lessons learned from application to the FDA Adverse Event Reporting System — https://4ort.xyz/entity/feature-engineering-and-machine-learning-for-causality-assessment-in-pharmacovigilance-lessons-learned-from-application- (retrieved 2026-05-24)
