Artificial intelligence methods for a Bayesian epistemology‐powered evidence evaluation-Reference-Cited by-同舟云学术

Artificial intelligence methods for a Bayesian epistemology‐powered evidence evaluation

Published:2021-02-11 Issue:3 Volume:27 Page:504-512
ISSN:1356-1294
Container-title:Journal of Evaluation in Clinical Practice
language:en
Short-container-title:J Eval Clin Pract

Author:

De Pretis Francesco¹²^ORCID,Landes Jürgen³^ORCID,Peden William⁴⁵^ORCID

Affiliation:

1. Department of Biomedical Sciences and Public Health School of Medicine and Surgery, Marche Polytechnic University Ancona Italy

2. Department of Communication and Economics University of Modena and Reggio Emilia Reggio Emilia Italy

3. Munich Center for Mathematical Philosophy, Faculty of Philosophy, Philosophy of Science and Study of Religion Ludwig‐Maximilians‐Universität München Munich Germany

4. Erasmus Institute for Philosophy and Economics, Erasmus School of Philosophy Erasmus University Rotterdam Rotterdam The Netherlands

5. Department of Philosophy Durham University Durham UK

Funder

Deutsche Forschungsgemeinschaft

Horizon 2020 Framework Programme

Publisher

Wiley

Subject

Public Health, Environmental and Occupational Health,Health Policy

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/jep.13542

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