Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
The Necessity and Feasibility Assessment Tool of the Clinical Prediction Model for Individual Prognosis Before Its Startup: A Multi‐Sectoral Delphi Consensus Study
0
Zitationen
19
Autoren
2025
Jahr
Abstract
The FATCILP aims to assist researchers and peer reviewers to detect potential challenges during the development and application of the clinical prediction model for individual prognosis before its start-up, so that the research of clinical prediction models could be efficient and avoid research waste.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.245 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.100 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.466 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.776 Zit.
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
2018 · 5.429 Zit.
Autoren
Institutionen
- Beijing Children’s Hospital(CN)
- Peking University(CN)
- Peking University Third Hospital(CN)
- Capital Medical University(CN)
- University of Calgary(CA)
- Provincial Laboratory of Public Health(CA)
- Chinese Academy of Medical Sciences & Peking Union Medical College(CN)
- Lanzhou University(CN)
- Fudan University(CN)
- Zhongshan Hospital(CN)
- Jilin University(CN)
- Jilin International Studies University(CN)
- First Affiliated Hospital of Jinan University(CN)
- Sichuan University(CN)
- West China Hospital of Sichuan University(CN)
- Wuhan University(CN)
- Johnson & Johnson (United States)(US)
- Johnson & Johnson (United Kingdom)(GB)
- Soochow University(CN)
- Science and Technology Department of Sichuan Province(CN)
- Sichuan Academy of Traditional Chinese Medicine(CN)
- Chengdu University of Traditional Chinese Medicine(CN)
- Huashan Hospital(CN)