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15. Use of predictive machine learning models at the population level has the potential to save cost by directing economic resources to those likely to improve most: a simulation analysis stratified by risk in largest combined US/European ASD registry
2
Zitationen
19
Autoren
2020
Jahr
Abstract
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Autoren
- Rushikesh S. Joshi
- Miquel Serra‐Burriel
- Ferrán Pellisé
- Darryl Lau
- Justin S. Smith
- Michael P. Kelly
- Ahmet Alanay
- Emre Acaroğlu
- Francisco Sánchez Pérez-Grueso
- Frank Kleinstück
- Ibrahim Obeid
- Douglas C. Burton
- Virginie Lafage
- Frank J. Schwab
- Christopher I. Shaffrey
- Shay Bess
- Christopher P. Ames
- ESSG European Spine Study Group
- International Spine Study Group
Institutionen
- Sunnyvale Public Library(US)
- University of San Francisco(US)
- University of Virginia Health System(US)
- New Orleans Public Library(US)
- Acıbadem University(TR)
- Hospital Universitario La Paz(ES)
- University of Kansas Medical Center(US)
- Hospital for Special Surgery(US)
- Duke University(US)
- Denver School of Nursing(US)
- University of California, San Francisco(US)
- Brighton Hospital(US)