Cargando…
Learning from chess engines: how reinforcement learning could redefine clinical decision-making in rheumatology
Autor principal: | Hügle, Thomas |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9279752/ https://www.ncbi.nlm.nih.gov/pubmed/35135830 http://dx.doi.org/10.1136/annrheumdis-2022-222141 |
Ejemplares similares
-
Rheumatology 4.0: big data, wearables and diagnosis by computer
por: Burmester, Gerd R
Publicado: (2018) -
Rare diseases 2030: how augmented AI will support diagnosis and treatment of rare diseases in the future
por: Hirsch, Martin Christian, et al.
Publicado: (2020) -
Confounding in longitudinal studies in addiction treatment research
por: Pierce, Matthias, et al.
Publicado: (2017) -
RT-ABCDE Strategy for management and prevention of human diseases
por: Hu, Chun-song
Publicado: (2008) -
SARS‐CoV‐2′s claimed natural origin is undermined by issues with genome sequences of its relative strains: Coronavirus sequences RaTG13, MP789 and RmYN02 raise multiple questions to be critically addressed by the scientific community
por: Deigin, Yuri, et al.
Publicado: (2021)