EHR-Independent Predictive Decision Support Architecture Based on OMOP

Background  The increasing availability of molecular and clinical data of cancer patients combined with novel machine learning techniques has the potential to enhance clinical decision support, example, for assessing a patient's relapse risk. While these prediction models often produce promisin...

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Detalles Bibliográficos
Autores principales: Unberath, Philipp, Prokosch, Hans Ulrich, Gründner, Julian, Erpenbeck, Marcel, Maier, Christian, Christoph, Jan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Georg Thieme Verlag KG 2020
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7269719/
https://www.ncbi.nlm.nih.gov/pubmed/32492716
http://dx.doi.org/10.1055/s-0040-1710393

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7269719/
https://www.ncbi.nlm.nih.gov/pubmed/32492716
http://dx.doi.org/10.1055/s-0040-1710393

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