Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Current status of use of big data and artificial intelligence in RMDs: a systematic literature review informing EULAR recommendations
39
Zitationen
15
Autoren
2019
Jahr
Abstract
Big data sources and types are varied within the field of RMDs, and methods used to analyse big data were heterogeneous. These findings will inform a European League Against Rheumatism taskforce on big data in RMDs.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.400 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.261 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.695 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.781 Zit.
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
2018 · 5.506 Zit.
Autoren
Institutionen
- Sorbonne Université(FR)
- Assistance Publique – Hôpitaux de Paris(FR)
- Pitié-Salpêtrière Hospital(FR)
- Institut Pierre Louis d‘Épidémiologie et de Santé Publique(FR)
- Center for Rheumatology(US)
- Utrecht University(NL)
- University Medical Center Utrecht(NL)
- Center for Translational Molecular Medicine(NL)
- Universitätsklinik Marien Hospital Herne(DE)
- Rheumazentrum Ruhrgebiet(DE)
- Hôpital Saint-Antoine(FR)
- University Hospital of Geneva(CH)
- Statistics Austria(AT)
- Medical University of Vienna(AT)
- Universidad Publica de Navarra(ES)
- Navarrabiomed(ES)
- Society of Interventional Radiology(US)
- Ospedale San Filippo Neri(IT)
- Inserm(FR)
- Florida Department of Health in Orange County(US)
- Laboratoire d'Informatique Médicale et d'Ingénierie des Connaissances en e-Santé
- Sequoia (United States)(US)
- University of Leeds(GB)
- Charité - Universitätsmedizin Berlin(DE)