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Artificial intelligence methods for a Bayesian epistemology-powered evidence evaluation

Authors :
De Pretis, F. (Francesco)
Landes, J. (Jürgen)
Peden, W. (William)
De Pretis, F. (Francesco)
Landes, J. (Jürgen)
Peden, W. (William)
Publication Year :
2021

Abstract

Rationale, aims and objectives: The diversity of types of evidence (eg, case reports, animal studies and observational studies) makes the assessment of a drug's safety profile into a formidable challenge. While frequentist uncertain inference struggles in

Details

Database :
OAIster
Notes :
application/pdf, Journal of Evaluation in Clinical Practice (Print), English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1244878825
Document Type :
Electronic Resource
Full Text :
https://doi.org/10.1111.jep.13542