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Journal Article

Automating hybrid collective intelligence in open-ended medical diagnostics

MPS-Authors
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Kurvers,  Ralf H. J. M.       
Center for Adaptive Rationality, Max Planck Institute for Human Development, Max Planck Society;

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Herzog,  Stefan M.       
Center for Adaptive Rationality, Max Planck Institute for Human Development, Max Planck Society;

External Resource

https://doi.org/10.1073/pnas.2221473120
(Publisher version)

https://osf.io/h9qep/
(Research data)

https://github.com/anuzzolese/crome/blob/main/crome-ontology.owl
(Research data)

https://github.com/anuzzolese/crome/blob/main/matching_map.ttl
(Research data)

https://github.com/anuzzolese/crome/blob/main/convert.py
(Research data)

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Fulltext (public)

pnas.2221473120.pdf
(Publisher version), 6MB

Supplementary Material (public)

pnas.2221473120.sapp.pdf
(Supplementary material), 2MB

Citation

Kurvers, R. H. J. M., Nuzzolese, A. G., Russo, A., Barabucci, G., Herzog, S. M., & Trianni, V. (2023). Automating hybrid collective intelligence in open-ended medical diagnostics. Proceedings of the National Academy of Sciences of the United States of America, 120(34): e2221473120. doi:10.1073/pnas.2221473120.


Cite as: https://hdl.handle.net/21.11116/0000-000D-91CA-B
Abstract
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